Artificial Intelligence Applications for Smart Societies

TRAMA

This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.

SOMMARIO

Chapter 1-Simulation, deployment, and testbed platforms for WSNs in Smart Cities..- Chapter 2-Accessibility, resilience, and security of IoT infrastructures for Smart Cities..- Chapter 3-Real-time information systems for intelligent transportation systems in Smart Cities..- Chapter 4-Mobile apps and WSN applications integrated in Smart Cities..- Chapter 5-AI techniques for devices and embedded systems in Smart Cities..- Chapter 6-Data processing..- Chapter 7-Self-learning..- Chapter 8-Computing and sensing infrastructures..- Chapter 9-Evolutionary algorithms for data mining in IoT based smart societies..- Chapter 10-Cloud computing-based evolutionary algorithms for IoT..- Chapter 11-Artificial intelligence algorithms for processing medical data in IoT..- Chapter 12-Machine learning for data processing in IoT based smart societies..- Chapter 13-Intelligent face recognition system using neural learning for smart security in IoT..- Chapter 14-Distributed attack detection using a deep neural network approach for IoT..- Chapter 15-Modeling and optimizing features selection in data system-based social IoT..- Chapter 16-Crowdsourcing systems and services for smart cities..- Chapter 17-Network communications technology for smart cities..- Chapter 18-Human mobility models for smart cities..- Chapter 19-Application of pervasive and mobile computing technology for smart cities..- Chapter 20-Safety, security, privacy and trust in applications and services for smart cities..- Chapter 21-Fault tolerance, reliability and survivability in smart cities..- Chapter 22-Multi-sourced heterogeneous data acquisition and fusion for smart cities..- Chapter 23-Case studies and test beds.

AUTORE

Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University. Dr. Elhoseny has been appointed as an ACM Distinguished Speaker from 2019 to 2022. Collectively, Dr. Elhoseny authored/co-authored over 85 ISI Journal articles in high-ranked and prestigious journals such as IEEE Transactions on Industrial Informatics (IEEE), IEEE Transactions on Reliability (IEEE), Future Generation Computer Systems (Elsevier), and Neural Computing and Applications (Springer). Besides, Dr. Elhoseny authored/edited 15 international books (eleven published by Springer, two published by Taylor& Francis, one published by Elsevier, and one published by IGI-Global). His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems.  Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications (IGI Global). Moreover,he is an Associate Editor of many journals such as IEEE Journal of Biomedical and Health Informatics (IEEE), IEEE Access (IEEE), Scientific Reports (Nature), IEEE Future Directions (IEEE), Remote Sensing (MDPI), and International Journal of E-services and Mobile Applications (IGI Global), Applied Intelligence (Springer). Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by IEEE and Springer. Dr. Elhoseny is the Editor-in-Chief of the Studies in Distributed Intelligence Springer Book Series, the Editor-in-Chief of The Sensors Communication for Urban Intelligence CRC Press-Taylor& Francis Book Series, and the Editor-in-Chief of The Distributed Sensing and Intelligent Systems CRC Press-Taylor& Francis Book Series. He was granted several awards by diverse funding bodies such as the Young Researcher Award in Artificial Intelligence from the Federation of Arab Scientific Research Councils in 2019,Obada International Prize for young distinguished scientists 2020, the Egypt State Encouragement Award in 2018, the best Ph.D. thesis in Mansoura University in 2015, the SRGE best young researcher award in 2017, and the membership of The Egyptian Young Academy of Science (EYAS) in 2019. Besides, he is a TPC Member or Reviewer in 50+ International Conferences and Workshops. Furthermore, he has been reviewing papers for 80+ International Journals including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Letters, IEEE Communication Letters, Elsevier Computer Communications, Computer Networks, Sustainable Cities and Society, Wireless Personal Communications, and Expert Systems with Applications. Dr. Elhoseny has been invited as a guest in many media programs to comment on technologies and related issues.   Dr. K. Shankar (Member, IEEE) is currently a Postdoctoral Fellow with Alagappa University, Karaikudi, India. He has authored/coauthored over 50 ISI Journal articles (with total Impact Factor 150+) and more than 100 Scopus Indexed Articles.  He has guest-edited several special issues at many journals published by SAGE, TechScience, Inderscience and MDPI. He has served as Guest Editor and Associate Editor in SCI, Scopus indexed journals like Elsevier, Springer, IGI, Wiley & MDPI. He has served as chair (program, publications, Technical committee and track) on several International conferences. He has delivered several invited and keynote talks, and reviewed the technology leading articles for journals like Scientific Reports – Nature, the IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Reliability, the IEEE Access, the IEEE Internet of Things, Big Data Research, Human-centric Computing and Information Sciences, and the IEEE Internet of Things. He has authored/edited Conference Proceedings, Book Chapters, and 2 books published by Springer. He has been a part of various seminars, paper presentations, research paper reviews, and convener and a session chair of the several conferences. He displayed vast success in continuously acquiring new knowledge and applying innovative pedagogies and has always aimed to be an effective educator and have a global outlook.  His current research interests include Healthcare applications, Secret Image Sharing Scheme, Digital Image Security, Cryptography, Internet of Things, and Optimization algorithms.   Dr. Mohamed Abdel-Basset received the B.Sc., M.Sc., and Ph.D. degrees in information systems and technology from the Faculty of Computers and Informatics, Zagazig University, Egypt. His current research interests are optimization, operations research, data mining, computational intelligence, applied statistics, decision support systems, robust optimization, engineering optimization, multiobjective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030630706
• Collana: Studies in Distributed Intelligence
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XII, 251 p.
• Pagine Arabe: 251
• Pagine Romane: xii