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Enhancing Autonomous and Adaptive Systems With AI and IoT

Artikelnummer: 979-8-3373-3146-1
Einband: Fester Einband
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In an era defined by rapid technological evolution, the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing the design and functionality of autonomous and adaptive systems. These systems are increasingly vital across industries ranging from manufacturing to healthcare. By integrating AI's analytics and decision-making capabilities with sensor networks and data streams, organizations can create intelligent ecosystems that not only react to environmental changes but to optimize for future conditions. Enhancing Autonomous and Adaptive Systems With AI and IoT explores the intersection of AI and IoT in autonomous and adaptive systems. This book bridges the gap between theoretical research and practical applications, offering a deeper understanding of the principles, methodologies, and challenges involved in creating intelligent, self-sustaining systems that can operate effectively in dynamic environments. Covering topics such as AI, loT, and automated systems, this book is an excellent resource for researchers, academicians, industry professionals, policymakers, technology leaders, and industry professionals.

In an era defined by rapid technological evolution, the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing the design and functionality of autonomous and adaptive systems. These systems are increasingly vital across industries ranging from manufacturing to healthcare. By integrating AI's analytics and decision-making capabilities with sensor networks and data streams, organizations can create intelligent ecosystems that not only react to environmental changes but to optimize for future conditions. Enhancing Autonomous and Adaptive Systems With AI and IoT explores the intersection of AI and IoT in autonomous and adaptive systems. This book bridges the gap between theoretical research and practical applications, offering a deeper understanding of the principles, methodologies, and challenges involved in creating intelligent, self-sustaining systems that can operate effectively in dynamic environments. Covering topics such as AI, loT, and automated systems, this book is an excellent resource for researchers, academicians, industry professionals, policymakers, technology leaders, and industry professionals.

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VerlagIgi Global Scientific Publishing
EinbandFester Einband
Erscheinungsjahr2025
Seitenangabe570 S.
AusgabekennzeichenEnglisch
MasseH26.0 cm x B18.3 cm x D3.5 cm 1'253 g
AutorSoufiene, Ben Othman (Hrsg.)

Über den Autor Ben Othman (Hrsg.) Soufiene

Ben Othman Soufiene is an assistant professor of computer science at the University of Gabes, Tunisia. He earned a PhD in computer science at Manouba University in 2016 for his dissertation on "Secure Data Aggregation in Wireless Sensor Networks." He earned an MS degree at Monastir University in 2012. His research interests include the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. He has coauthored more than 110 research articles with a Google H-index of 20.Saurav Mallik (Member, IEEE) earned a PhD at Jadavpur University, Kolkata, India, in 2017. His postgraduate studies were conducted with the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. He is a research scientist at the University of Arizona, USA. He previously held a postdoctoral fellow with Environmental Epigenetics, Harvard T. H. Chan School of Public Health, University of Texas Health Science Center, Houston, and with the Miller School of Medicine, University of Miami, USA. He has coauthored more than 150 research articles with a Google H-index of 20. His research interests include computational biology, bioinformatics, data mining, biostatistics, and pattern recognition.Abdulatif Alabdulatif is an assistant professor at the School of Computer Science and Information Technology, Qassim University, Saudi Arabia. He earned a PhD in computer science at RMIT University, Australia, in 2018. He earned a BSc in computer science at Qassim University, Saudi Arabia, in 2008, and an MSc in computer science at RMIT University, Australia, in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and e-health.

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