EAI/Springer Innovations in Communication and Computing

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more.  The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.

• Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;
• Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;
• Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019.

• Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019;
• Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms;
• Includes contributions from researchers, academics, and professionals from around the world.

This book provides readers with an insight into information and knowledge in the Internet of Things, in particular an investigation of data management and processing, information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, knowledge integration, and the development of new intelligent services available anytime, anywhere, by anyone. The authors show how IoT enables communication and ubiquitous computing between global citizens, networked machines and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information.

This book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making. The book provides insights on how cognitive management and cognitive computing enable businesses to quickly augment human intelligence and help humans perform tasks better. For example, the authors describe how by analyzing patterns in big data, small data, and „dark data,“ cognitive technologies can detect human behavior and suggest options for personalizing of products and services. The book studies companies in industries such as automotive, airline, health care, retail, wealth management, and litigation who have adopted these approaches.

• Presents applications of cognitive computing and cognitive management used in augmenting and empowering business decisions;
• Shows how to employ the Internet of Things in businesses using a cognitive management framework;
• Discusses technical aspectsand alternatives to traditional tools, algorithms, and methodologies in cognitive computing.

This book discusses the trust models for next-generation Blockchain ecosystems. The book provides a comprehensive discussion on various trust factors involving security, anonymization, reputation, governance, economic models, and other relevant determinants. The book covers various topics in breadth and depth. In addition, it sets the foundation to involve the readers in understanding the core theories supplemented with technical and experimental discussion. The book starts by laying out the foundations of trust models in Blockchain ecosystems. The authors then provide a study of existing trust models Blockchain networks. They then provide identification of trust factors and discuss each trust factor. The book concludes with a future outlook of trust-enabling Blockchain ecosystems.

• Outlines the trust models for next-generation Blockchain ecosystems;
• Covers the trust issues in various Blockchain ecosystems running in public, private, consortium, and cloud environments;
• Features issues such has privacy, security, scalability, and requirements in Blockchain.

This book highlights research on secure communication of 5G and the Internet of Things (IoT) Networks, along with related areas to ensure secure and Internet-compatible IoT systems. The authors not only discuss 5G and IoT security and privacy challenges, but also energy efficient approaches to improving the ecosystems through communication. The book addresses the secure communication and privacy of the 5G and IoT technologies, while also revealing the impact of IoT technologies on several scenarios in smart city design. Intended as a comprehensive introduction, the book offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in 5G and IoT technologies.  

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like image mining, geographical, and agricultural resources. The book also includes several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking — including recent trends in moving vehicles and ship detection – is described.

• Presents developments of current research in various areas of image processing;
• Includes applications of image processing in remote sensing, astronomy, and manufacturing;
• Pertains to researchers, academics, students, and practitioners in image processing.

This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems.

• Provides current research, developments, and applicationsin pervasive healthcare;
• Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare;
• Pertinent for researchers, students, practitioners and healthcare decision makers.

This book provides basic concepts and deep knowledge about various security mechanisms that can be implemented in IoT through Blockchain technology. This book aids readers in gaining insight and knowledge about providing security and solutions to different challenges in IoT using Blockchain technology. This book primarily focuses on challenges to addressing the integration of the IoT with Blockchain with respect to potential benefits for IoT. This book gives descriptive analysis of Blockchain integrated with IoT applications and platforms for the development of IoT solutions along with possible topologies to that integration. Several application examples are included in a variety of industries.

This book gathers the state-of-the-art for industrial application of scientific and practical research in the Cloud and IoT paradigms to benefit society. The book first aims to discuss and outline various aspects of tackling climate change. The authors then discuss how Cloud and IoT can help for digital health and learning from industrial aspects. The next part of book discusses technical improvements in the fields of security and privacy. The book also covers Smart Homes and IoT in agriculture.  The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit common masses.

This book offers a holistic approach to the Internet of Things (IoT) model, covering both the technologies and their applications, focusing on uniquely identifiable objects and their virtual representations in an Internet-like structure. The authors add to the rapid growth in research on IoT communications and networks, confirming the scalability and broad reach of the core concepts. The book is filled with examples of innovative applications and real-world case studies. The authors also address the business, social, and legal aspects of the Internet of Things and explore the critical topics of security and privacy and their challenges for both individuals and organizations. The contributions are from international experts in academia, industry, and research. 

This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.  

This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.

The book provides easy interpretable explanations for the key technologies involved in Electric Vehicles and Hybrid Electric Vehicles. The authors discuss the various electrical machines, drives, and controls used in EV and HEV. The book provides a detailed coverage of Regenerative Braking Systems used in EV and HEV.
The book also illustrates the battery technology and battery management systems in EV and HEV.  This book is intended for academicians, researchers and industrialists.

In addition, this book has the following features

• Discusses the various Economic and Environmental Impact of Electric and Hybrid Electric Vehicles
• Discusses the role of Artificial Intelligence in Electric / Hybrid Electric Vehicles
• Illustrates the concept of Vehicle to Grid Technology and the smart charging station infrastructure and issues involved in the same
• Elucidates the concept of Internet of Vehicles
• Presents the latest research and applications in alternate energy vehicles 

This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) for successful implementation of the IoT/IoE. The authors also address the development and advancement in cloud computing to support IoT and IoE. Research on the challenges and future predictions for efficiently implementing and exploring the benefits of smart cities are also explored. The book pertains to researchers, academics, and professionals in the field.

• Discusses the applicability of Internet of Things (IoT) and Internet of Everything (IoE) for smart cities;
• Addresses different protocols, networks, and technologies related to the implementation of IoT and IoE for smart cities;
• Provides a detailed overview on the physical and network layer design and signal processing algorithms related to IoT and IoE.

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

This book provides a comprehensive exchange of information on current developments in the field of sustainable management of manufacturing systems and Industry 4.0. The authors’ ambition is to establish channels of communication and disseminate knowledge among professionals working in smart manufacturing and related institutions. The book brings together world-leading academics and practitioners from the fields of engineering, infrastructure planning, manufacturing management, and economics. The unique combination of fields and disciplines focused on Industry 4.0 provides presents opportunities to create a bridge between science and practice.

This book presents research related to smart devices and Internet of Things (IoT) that are intended to advance environmental sustainability. With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution. The authors discuss how IoT can aid in sustainability through its implementation of systems interconnecting several objects, whether in the physical or in the virtual worlds. The chapters also present several applications including in smart homes, transportation, and healthcare. The book pertains to researchers, academics, and professionals.

This book presents the latest techniques for the design of antenna, focusing specifically on the microstrip antenna.  The authors discuss antenna structure, defected ground, MIMO, and fractal design. The book provides the design of microstrip antenna in terms of latest applications and uses in areas like IoT and device-to-device communication. The book also provides the current methods and techniques used for the enhancement of the performance parameters of the microstrip antenna. Chapters enhance the knowledge and skills of students and researchers in the latest in the communications world like IoT, D2D, satellite, wearable devices etc. The authors discuss applications such as microwave imaging, medical implants, hyperthermia treatments, and wireless wellness monitoring and how a decrease in size of antenna help facilitate application potential.

• Provides the latest techniques used for the design of antenna in terms of its structure, defected ground, MIMO and fractal design;
• Outlines steps to resolve issues with designing antenna, including the latest design and design parameters for microstrip antenna;
• Presents the design of conformal and miniaturized antenna structures for various applications.

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

This book presents selected papers from the International Conference on Computing, Communication, Electrical and Biomedical Systems (ICCCEBS 2021), held in March 2021 at KPR College of Engineering and Technology, Coimbatore, Tamil Nadu, India. The conference explores the interface between industry and real-time environments with newly developed techniques in computing and communications engineering. The papers describe results of conceptual, constructive, empirical, experimental, and theoretical work in areas of computing, communication, electrical, and biomedical systems. Contributors include academic scientists, researchers, industry representatives, postdoctoral fellows, and research scholars from around the world.

This book provides basic knowledge of advanced microcontrollers associated with large systems and devices. The book determines the feasibility of the advanced controllers from an Industry 4.0 perspective, which is associated with Integrated Internet of Things (IIoT) when developing larger smart cities. Also, it describes potential applications, key areas of Industry 4.0, and controlling applications with microcontrollers. Chapters include IoT with integrated control applications in smart city paradigm; agriculture, public safety, women and child care & welfare; healthcare, water management, government and administration; environmental impact, energy with management of information systems; and safety, education, transportation systems with advanced controllers.

This book covers a variety of topics and trends related to blockchain technology for smart era applications. The applications span industries such as health, government, energy management, manufacturing, finance, information systems, all far beyond blockchain's original use in cryptocurrency. The authors present variants, new models, practical solutions, and technological advances related to blockchain in these fields and more. The applications within these fields include blockchain and cyber-security, IoT security and privacy using blockchain, and blockchain in industries and society . A variety of case studies are also included. The book is applicable to researchers, professionals, students, and professors in a variety of fields in communications engineering.

This book discusses communications technologies used in the field of healthcare, including IoT, soft computing, machine learning, big data, augmented reality, and wearable sensors. The book presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of this technology. The book also helps researchers and practitioners to understand and analyze the e-healthcare architecture through IoT and the state-of-the-art in IoT countermeasures with real-time challenges. Topics of interest include healthcare systems based on advanced development boards, mobile health parameters recording and monitoring systems, remote health / patient monitoring, hospital operations management, abnormality / disease detection by IoT devices, and efficient drug management. The book is relevant to a range of researchers, academics, and practitioners working on the intersection of IoT and healthcare.

This book is a compilation of the recent technologies and innovations in the field of automotive embedded systems with a special mention to the role of Internet of Things in automotive systems. The book provides easy interpretable explanations for the key technologies involved in automotive embedded systems. The authors illustrate various diagnostics over internet protocol and over-the-air update process, present advanced driver assistance systems, discuss various cyber security issues involved in connected cars, and provide necessary information about Autosar and Misra coding standards. The book is relevant to academics, professionals, and researchers.

This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book featurescontributions from leading scholars from all over the world.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19  cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.

This book is the result of years of research following a realization of the mismatch of engineering skills produced by universities and those that industry required, based on the situation in Sub-Saharan Africa, equally applicable to other regions in Africa and indeed worldwide. The book is meant to assist engineering academics and engineers in industry to build capacity and cope with the dynamic trends in technology brought on by the 4th Industrial Revolution and to prepare for the 5th Industrial Revolution, an era predicted to be dominated by critical and system thinkers with creative and innovative skills as basic necessities. The book is also useful for policy-making researchers in academia, industrial and public sector researchers, and implementers in governments that provide required funding for the development of human resources and skills. The book primarily consists of the novel research and innovation approaches of modelling and building systems thinking sub-models which were ultimately integrated into the Universal Systems Thinking (UST) model aimed at improving the quality of engineers and engineering practice. The initiatives in this book include strategies for bridging the gap between industry and academia through systems thinking research. The book provides information on how to model, simulate, adjust and implement integrated systems thinking approaches to engineering education and training for capacity building and sustainability. The book also covers approaches to address research gaps and mismatch of skills while capitalizing on the successes of several projects carried out and supported by the Royal Academy of Engineering over the years. 

This book presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021), held virtually in a live stream. The papers included contribute to organized topics of 5G wireless communication, wireless sensor networks, knowledge extraction, instantaneous availability, complex networks, computer vision for mobile application, and mobile support robots. The research presents both theoretically and experimentally based topics. The work particularly benefits researchers, graduate students, and engineers who are interested in related technique improvement ranging from communication middleware and operating systems to networking protocols and applications.

• Presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021);
• Topics include 5G wireless communication, wireless sensor networks, knowledge extraction, and instantaneous availability;
• Relevant to researchers, students, and engineers involved in wireless technology and its applications.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

This book discusses advances in smart and sustainable development of smart environments. The authors discuss the challenges faced in developing sustainable smart applications and provide potential solutions. The solutions are aimed at improving reliability and security with the goal of affordability, safety, and durability. Topics include health care applications, sustainable smart transportation systems, intelligent sustainable wearable electronics, and sustainable smart building and alert systems. Authors are from both industry and academia and present research from around the world.

• Addresses problems and solutions for sustainable development of smart cities;
• Includes applications such as healthcare, transportation, wearables, security, and more;
• Relevant for scientist and researchers working on real time smart city development.

This book presents the trends, challenges, and advances in Internet of Things (IoT) in the areas of industrial management and industrial engineering. The authors look at how smart environments (smart city, smart university, smart regions, smart transportation, etc.) affect the way industrial management and industrial engineering are envisioned, planned, and applied and how engineers must incorporate new ideas and methods now and in the future. Some topics include the impact of ICT on the emergency response vehicle driving time, car accident detecting systems based on machine learning algorithms, smart city platforms based on citizen reporting services, and IoT-based household energy consumption prediction using machine learning. The book brings together contributions from academics and practitioners from around the world to discuss the intersection of IoT, industry and management.

 This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2021), which took place online. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.

This book provides awareness of methods used for functional encryption in the academic and professional communities. The book covers functional encryption algorithms and its modern applications in developing secure systems via entity authentication, message authentication, software security, cyber security, hardware security, Internet of Thing (IoT), cloud security, smart card technology, CAPTCHA, digital signature, and digital watermarking. This book is organized into fifteen chapters; topics include foundations of functional encryption, impact of group theory in cryptosystems, elliptic curve cryptography, XTR algorithm, pairing based cryptography, NTRU algorithms, ring units, cocks IBE schemes, Boneh-Franklin IBE, Sakai-Kasahara IBE, hierarchical identity based encryption, attribute based Encryption, extensions of IBE and related primitives, and digital signatures.

• Explains the latest functional encryption algorithms in a simple way with examples;
• Includes applications of functional encryption in information security, application security, and network security;
• Relevant to academics, research scholars, software developers, etc.

This book focuses on the fundamentals of blockchain technology along with the means and methods of its integration with Internet of Things (IoT). The book allows the reader to have a deeper understanding of blockchain technology, IoT and various application areas wherein both technologies can be implemented. The book serves the purpose of providing knowledge about the fundamentals of blockchain and IoT to a common reader along with allowing a research scholar to identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discuss relevant application areas such as smart city, e-healthcare, smart travel, etc. throughout the course of the book. The book also talks through a few case studies illustrating the implementation and benefits of using blockchain and IoT. 

• Provides a comprehensive view of blockchain technology and its integration with IoT;
• Facilitates in having a valuable understanding ofvarious application areas pertaining to blockchain and IoT;
• Assists the reader in exploring new research areas wherein blockchain and IoT can find their applicability based upon their list of benefits.

The book presents the proceedings of the 6th EAI International Conference on Management of Manufacturing Systems (MMS 2021), which took place online on October 6, 2021. The conference covered management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more.

This book combines comprehensive multi-angle discussions on fully connected and automated vehicle highway implementation. It covers the current progress of the works towards autonomous vehicle highway development, which encompasses the discussion on the technical, social, and policy as well as security aspects of Connected and Autonomous Vehicles (CAV) topics. 

This, in return, will be beneficial to a vast amount of readers who are interested in the topics of CAV, Automated Highway and Smart City, among many others. Topics include, but are not limited to, Autonomous Vehicle in the Smart City, Automated Highway, Smart-Cities Transportation, Mobility as a Service, Intelligent Transportation Systems, Data Management of Connected and Autonomous Vehicle, Autonomous Trucks, and Autonomous Freight Transportation.

• Brings together contributions discussing the latest research in full automated highway implementation;
• Discusses topics such as autonomous vehicles, intelligent transportation systems, and smart highways;
• Features contributions from researchers, academics, and professionals from a broad perspective.

This book discusses the next level of innovative technologies influencing sectors in industry and their future in industrial, urban and sustainable development. The authors provide a platform for a discussion of a synergy of ideas within smart industrial innovations, approaching them from various points of view. These include industry and management 4.0, the expansion of new business models, smart technologies identifying global challenges, and other new trends and opportunities. New managerial ideas, innovations, and technologies for advances in mobility are highlighted together from a multidisciplinary perspective. This book is relevant to researchers, graduate students and those who are interested in Smart Cities.

Discusses unique angles in the fields of Industrial Management

Links various global challenges in Industry 4.0, IoT, and Smart City applications by analysing results in practice

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e. g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications.

• Describes the advances of computing methodologies for life and medical science data;
• Presents applications of artificial intelligence in healthcare along with case studies and datasets;
• Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

This book presents recent trends and enhancements in the convergence of immersive technology and smart cities. The authors discuss various domains such as medical education, construction, brain interface, interactive storytelling, edification, and journalism in relation to combining smart cities, IoT and immersive technologies. The book sets up a medium to promulgate insights and in depth understanding among experts in immersive technologies, IoT, HCI and associated establishments. The book also includes case studies, survey, models, algorithms, frameworks and implementations in storytelling, smart museum, medical education, journalism and more. Various practitioners, academicians and researchers in the domain contribute to the book. 

This book provides use case scenarios of machine learning, artificial intelligence, and real-time domains to supplement cyber security operations and proactively predict attacks and preempt cyber incidents. The authors discuss cybersecurity incident planning, starting from a draft response plan, to assigning responsibilities, to use of external experts, to equipping organization teams to address incidents, to preparing communication strategy and cyber insurance. They also discuss classifications and methods to detect cybersecurity incidents, how to organize the incident response team, how to conduct situational awareness, how to contain and eradicate incidents, and how to cleanup and recover. The book shares real-world experiences and knowledge from authors from academia and industry.

This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book’s central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making.

This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders.

This book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies.

This book presents papers presented at the 4th EAI International Conference on Robotic Sensor Networks. The conference explored the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors explore how big networks are becoming the main tool for the next generation of robotic research, owing to the explosive number of networks models and the increased computational power of computers. The papers discuss how these trends significantly extend the number of potential applications for robotic technologies while also bringing new challenges to the networks’ communities. The 2nd EAI International Conference on Robotic Sensor Networks was held online on November 21-22, 2020.

The book presents the proceedings of the 5th EAI International Conference on Management of Manufacturing Systems (MMS 2020), which took place online on October 27-29, 2020. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart Logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering.

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM.  Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud. 

This book explores the concepts and techniques of cloud security using blockchain. Also discussed is the possibility of applying blockchain to provide security in various domains. The authors discuss how blockchain holds the potential to significantly increase data privacy and security while boosting accuracy and integrity in cloud data. The specific highlight of this book is focused on the application of integrated technologies in enhancing cloud security models, use cases, and its challenges. The contributors, both from academia and industry, present their technical evaluation and comparison with existing technologies. This book pertains to IT professionals, researchers, and academicians towards fourth revolution technologies.

This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.

This book discusses various aspects of the multi-cloud paradigm. The initial portion of the book focuses on the motivations for the industry to embrace a multi-cloud option and the distinct business, technology, and user cases of multi-cloud implementations. The middle part of the book explains the challenges of setting up and sustaining multi-cloud environments. The latter portion focuses on the next-generation technologies and tools along with multi-cloud platforms, processes, patterns, and practices. The final segment of the book is dedicated for cloud brokerage systems. The various traits and tenets of cloud brokerage services especially for accomplishing cloud intermediation, integration, orchestration, governance, security, management, configuration, etc. are explained in detail. The book also clearly articulates how to have intelligent brokers.

This book features the proceedings of the 4 ^th  EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

The book discusses the study and implementation of controlling in the modern enterprise from the perspective of Industry 4.0, which helps ensure the efficient and effective use of organizational resources in order to achieve planned goals. The aim of this book is to provide the most comprehensive and effective exchange of information on current developments in Enterprise Controlling. The authors describe lean/agile approaches that enterprises can use to reach the highest level of competitiveness in a global environment and help establish channels of communication and disseminate knowledge among professionals working in manufacturing and related institutions. The authors aim to help facilitate corporate coordination and help with its planning without deviating from standards. The publication is dedicated to all who want to learn in the field of controlling from researchers and academics to students.

This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain.

This book presents the proceedings of 2nd EAI International Conference on Smart Technology   (MTYMEX), which took place April 27 ^th , 2021, online and in Monterrey, Mexico. MTYMEX is an international conference aimed at demonstrating the potential of new applications for the Internet in the future. The authors offer perspectives on research on smart technologies in society, including the results of research projects on virtual reality, blockchain, artificial intelligence, and smart cities. The book offers examples of applications with smart technologies in different knowledge areas. The conference brings together the academic, research and private sectors working on applications and smart devices for e-health and smart cities.

This book presents the most recent innovations, trends, and challenges in several aspects of Industry 4.0, including the key technologies and business impacts. The book is relevant to a variety of stakeholders due to Industry 4.0’s broad impact in many fields.  Topics include digital workplace solutions for employee engagement, entrepreneurship and innovation, and Blockchain for business security. The authors cover Industry 4.0 both from a theoretical and applicable standpoint.

This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications.

• Provides insights into medical signal and image analysis using artificial intelligence;
• Includes novel and recent trends of decision support system for medical research;
• Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.

This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students. 

This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey.

This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.

The book presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022), which took place in Krynica-Zdrój, Poland, 05-07 October 2022. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering.

• Presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022);
• Covers topics such as Industry 4.0, smart logistics, smart cities, and intelligent manufacturing;
• Relevant for researchers, academics, and professionals.

This proceeding features papers from EAI Mobility IoT 2022 – the 9th International Conference on Mobility, IoT and Smart Cities, which took place December 15-16, 2022, Bratislava, Slovakia and online. The conference focuses on innovative technologies influencing industry and connectivity sectors in industrial, urban, social and sustainable development. The papers cover many topics in mobility, including car manufacturing, e-mobility, smart cities, smart factories (Industry 4.0), smart logistics, social mobility, technological innovations, sustainability, multicultural development, Internet of Things sectors, etc. The papers are applicable to researchers, academics, students, and professionals.

This book focuses on the integration of IoT and computer aided systems for the development of smart buildings. The scope of the book includes, but is not restricted to, advanced technologies for monitoring, energy management, smart gardening, protection, safety, assisted living, and intelligent operations. The authors cover the wide aspects of interconnected smart services with convenient interfacing to the end-users. The features of this book include discussion on various aspects of IoT and computer aided systems for smart architecture designs and innovative object interconnections. The book also provides highlights on the applications of IoT in the development of intelligent structures for technology-enabled  lifestyles. Furthermore, it provides prominent scopes for future inventions in the field of electrical engineering, building system management, and computer-aided advancements. The content of this book is useful to graduate and post-graduate students, researchers, and professionals working on the concept of smart building, smart city, and smart environments.

This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.

This book features the proceedings of the 5 ^th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field of communications engineering with a variety of perspectives. 

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.  Authors include researchers, academics, and professionals in the field.

This book combines two main topics applied to cities and societies: innovation and sustainability. The book begins by showing a brief overview of the book's main topics; then, the book addresses four main areas which allow our communities to be more attractive, engaging and fun; analytical, descriptive and predictive; healthy, secure and sustainable; and innovative, connected and monitored. This book represents a union of inputs from researchers and practitioners where each chapter has distinct, valuable and practical contributions that turn it unique. The content ranges from theoretical, like studies or analyses to practical, like industrial solutions or engaging systems. Both branches focus on turning our society more attractive, intelligent, inclusive, sustainable, and ready for the future.

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

This book presents the proceedings of the 15 ^th EAI International Conference on Automation and Control in Theory and Practice (ARTEP 2023), held in Stará Lesná, Slovakia, February 8-10, 2023. The aim of the conference was to meet the experts in the field of control, industrial automation and ICT in the industry from universities, colleges, and practice. The conference aims to draw attention to modern trends in the field, to enable experts, pedagogues and scientific researchers to present the results achieved in their work, to exchange experiences and establish working contacts between meeting participants. The ARTEP proceedings includes papers on automation and control and their integration of technologies such as Industry 4.0, robotics, and IoT. ARTEP is primarily a conference for scientists and practitioners who develop and study automation, management, and technologies.

This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT). The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles.

This book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022). The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain.

This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference Computer on Science and Engineering in Health Services (COMPSE 2022), which took place in Mexico City and online, June 28th, 2022. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.

This book presents select papers from 3rd EAI International Conference on Computational Intelligence and Communications (CICom 2022). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system, (2) big data, internet of things, and smart cities, (3) wireless communication systems and cyber security and (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modellings are not the preferred solution, hence alternative solutions are needed. This collection of applications demonstrates the important advances in computational intelligence. The book chapters’ present various ideas that will benefit researchers, graduate students and engineers in this domain.

This book focuses on the numerous energy harvesting techniques and their system implementation towards the fulfilment of energy requirements in compact electronic devices. These cover a wide range of applications in portable devices, bio-medical services, agriculture needs, mechanical systems, sensor networks, automobiles, food sector, home appliances, industry needs, etc. The authors detail energy harvesting methods using the latest technologies in acoustics, bio-chemical, thermal, artificial light, fluid flow, vibrations, EM energy, RF energy, piezoelectric, electrostatic, photovoltaic, thermoelectric, hybrid harvesting, ultrasonic, infrared, light, wind, and solar. The book is intended for researchers, academics, professionals, and students in energy harvesting.

This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value.

This book provides insight into the importance of advanced innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI), and Metaverse as part of information and communication technology (ICT) solutions in education. Key features of this book include the recent and emerging developments in various specializations in education and finding their solutions by incorporating IoT, AI and ICT. This book presents useful applications, interventions, and case studies that cater to their improved requirements. Topics include formal and services based on IoT; AI technology for IoT-based educational delivery; interfacing devices to IoT; smart educational services; ChatGPT; Smartbots; and more. The authors include several practical solutions and applications of IoT and ICT in education. The book applies to researchers, academics, students, educators and practitioners around the world.

The book provides a comprehensive analysis of Engineering Education in industrialising countries, with Southern Africa as the case study, benchmarked on institutions from the industrialised world, with UK institutions as the reference. This was motivated by the perennial shortage of engineers and engineering skills to drive industry in Southern Africa, compounded by the mismatch of skills between those produced by tertiary institutions and those required by industry. This book focuses on the insufficiencies in training, through addressing the gap where the majority of engineering academics’ qualifications at MSc/MEng level fall short of the internationally acceptable PhD/DEng/DTech. In order to address such insufficiencies, the book proposes and advocates for reskilling and doctoral training of engineering academics through the proposed and established DTCs within the region. The book is targeted at graduate students, engineering academics, researchers, university administrators, foreign aid agencies, captains of industry and policy-makers in governments. To all these readers, the book offers:

This proceedings presents the papers included in the 2nd International Congress of Electrical and Computer Engineering (ICECENG), which took place in Bandirma, Turkey, 22-25 November 2023. The conference aims to bring together researchers, developers, and students in computing, technology trends, artificial intelligence, and security who are interested in studying the application of formal methods to the construction and analysis of models describing technological processes at both micro and macro levels. ICECENG’23 also aims to provide a platform for discussing the issues, challenges, opportunities, and findings of computer engineering research. The conference seeks to provide some answers and explore the processes, actions, challenges, and outcomes of learning and teaching.

This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2023), which took place Bratislava, Slovakia, October 24-26, 2023. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.

This book gathers recent research in security and privacy to discuss, evaluate, and improve the novel approaches of data protection in IoT and edge and fog computing. The primary focus of the book addresses security mechanisms in IoT and edge/ fog computing, advanced secure deployments for large scaled edge/ fog computing, and new efficient data security strategy of IoT and edge/ fog computing. The book lays a foundation of the core concepts and principles of IoT and 5G security, walking the reader through the fundamental ideas. This book is aimed at researchers, graduate students, and engineers in the fields of secure IoT and edge/ fog computing. The book also presents selected papers from International Conference on Advanced Computing & Next-Generation Communication (ICACNGC 2022).

The book presents the proceedings of the 8th EAI International Conference on Management of Manufacturing Systems (MMS 2023), which took place October 24-26, 2023 in Bratislava, Slovakia. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart Logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering.

This book analyzes digital technologies being used in the teaching-learning process. The authors show how the use of AI in higher education can provide personalized education through the automation of administrative teaching tasks, software programs that favor the detection of topics that need reinforcement in the classroom, the guidance and support of students outside the classroom, and the use of data intelligently to teach and support students. In addition, the authors show how to further personalize education with the use of augmented reality, adaptive platforms, intelligent tutor systems, Chatbots, adaptive learning, computer aided instruction, MOOCs, and robotics. The authors answer questions such as: What sustainable educational technologies can be used in the teaching-learning process; How can Blockchain technology and AI be applied in higher education; How can the metaverse be applied in virtual learning environments? The book is relevant to researchers, professionals, andstudents interested in technology and education.

This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data breaches, and other forms of cyber threats. Digital resilience not only enables proactive measures but also ensures fault-tolerant planning and design. The book elaborates on the necessary techniques and methods to achieve digital resilience. Key methodologies, including quantum computing, post-quantum cryptography, nature-inspired cybersecurity, zero-trust systems, zero-knowledge proofs, multi-party computation, and the emerging field of space security, are discussed in detail. The book provides insights into artificial intelligence and machine learning, examining their impact on society and organizations. It critically analyses the role of cybersecurity in businesses, emphasizing its importance for safety and economic stability. In addition, the book discusses notable cyber incidents, offering valuable insights into digital resilience. It serves as a comprehensive compilation, featuring key terms, definitions, case studies, and references to existing literature and research in cybersecurity, analytics, information sciences, future computing, digital resilience, and related fields.

This book features the proceedings of the 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2023). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.