Cloud-Enabled Artificial Intelligence of Things

1. Auflage 2027
ISBN: 978-1-032-84533-3
Verlag: CRC Press

Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Innovations in Intelligent Internet of Everything (IoE)

This edited volume presents a comprehensive and interdisciplinary perspective on Cloud-Enabled Artificial Intelligence of Things (AIoT), highlighting recent advances at the convergence of artificial intelligence, the Internet of Things (IoT), cloud computing, edge intelligence, and cybersecurity. The book brings together scholarly contributions that address emerging AIoT paradigms, architectures, and application domains, encompassing intelligent sensing, secure cloud-enabled frameworks, machine learning and deep learning techniques, precision agriculture, healthcare analytics, digital twins, and intelligent cyber-physical systems. By integrating theoretical foundations with contemporary developments, the volume offers a timely and holistic understanding of next-generation AIoT technologies and their transformative potential.

The book provides readers with in-depth analyses of cloud-enabled AIoT models, bioinspired AI approaches, AI/ML-driven cybersecurity mechanisms, distributed edge-computing architectures, and domain-specific applications, including non-contact vital signs estimation, nutrient deficiency detection, protein–ligand binding affinity prediction, and secure visitor validation systems. Each chapter presents state-of-the-art methodologies, critical challenges, and future research directions, enabling readers to develop both conceptual and practical insights into the design, deployment, scalability, and security of intelligent cloud-enabled ecosystems. The volume serves as a valuable reference for understanding the integration of AI, IoT, and cloud technologies in addressing complex real-world problems.

Key Features

- Comprehensive coverage of cloud-enabled AIoT architectures, security frameworks, and intelligent applications.

- Scholarly discussions on AI/ML, edge computing, digital twins, and cyber threat mitigation in AIoT environments.

- Application-driven case studies spanning healthcare, smart agriculture, and secure intelligent systems.

- Critical analyses of contemporary challenges, emerging trends, and future research directions for next-generation AIoT technologies.

This book is intended for researchers, academicians, postgraduate students, industry practitioners, and technology professionals working in AI, IoT, cloud computing, cybersecurity, smart agriculture, healthcare informatics, and intelligent systems who seek an interdisciplinary and application-focused perspective on next-generation AIoT technologies.

Zielgruppe

Postgraduate

Autoren/Hrsg.

H L, Gururaj

M, Gowtham

K, Raghavendra

D, Rajeshwari

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

Cloud enabled Artificial Intelligence and Internet of Things (AIoT) in Smart Healthcare and Smart Cities. 2. Bioinspired AI in IoT. 3. The Security of IoT and The Function of AI/ML in Alleviating New Cyber Threats Within Cloud Computing Environments. 4. Potential Combinations of AI and IoT: An Overview of Developments and Applications. 5. Cloud-Enabled AIoT Approaches for Non-Contact Vital Signs Estimation Using rPPG: A Survey of ML and DL Techniques. 6. Cloud-Enabled AIoT for Smart Agriculture: A Survey on Digital Twin Frameworks, Challenges, and Applications. 7. Distributed Edge-Computing enabled Secured Artificial Intelligence of Things: A Survey. 8. Security Measures against Attacks in AIoT Systems. 9. Synergies Unleashed: Harnessing Artificial Intelligence to Empower the Internet of Things (IoT). 10. An AI-Powered Framework for Predicting Protein-Ligand Binding Affinity Leveraging IoT and Cloud Computing Technologies. 11. AIoT Model for Nutrient Deficiency Detection in Mulberry Leaves with Cloud Scalability. 12. AIoT-Powered Secure Visitor Validation System. 13. Cloud-Enabled Artificial Intelligence of Things (AIoT) for Smart Precision Agriculture.

Über Autor(innen)

Dr. Gururaj H L is currently working as Associate Professor, Department of Information Technology, Maniapl Institute of Technology, MAHE, Bengaluru, India. He holds a Ph.D. Degree in Computer Science and Engineering from Visveswaraya Technological University, Belagavi, India in 2019. He is a professional member of ACM and working as ACM Distinguish Speaker from 2018. He is the founder of Wireless Internetworking Group (WiNG). He is a senior member of IEEE and lifetime member of ISTE and CSI. Dr. Gururaj H L received young scientist award from SERB, DST, and Government of India in December 2016. He has 9 years of teaching experience at both UG and PG level. His research interests include Block Chain Technology, Cyber Security, Wireless Senor Network, Ad-hoc networks, IoT, Data Mining, Cloud Computing and Machine Learning. He is an Editorial Board member of the International Journal of Block chains and Cryptocurrencies (Inderscience Publishers) and Special Editor of EAI publishers. He has published more than 75 research papers including 2 SCI publications in various international journals such in IEEE Access, Springer Book Chapter, WoS, Scopus, and UGC referred journals. He has presented 30 papers at various international Conferences. He has authored 1 Book on Network Simulators. He worked as reviewer for various journals and conferences. He also received Best paper awards at various National and International Conferences. He was honored as Chief Guest, Resource Person, Session chair, Keynote Speaker, TPC member, Advisory committee member at National and International Seminars, Workshops and Conferences.

https://scholar.google.com/citations?user=JUYgppUAAAAJ&hl=en

Dr. Gowtham M is currently working as Assistant Professor, Department of Information Science and Engineering, JSS Science and Technology University Mysuru, India. He completed his research (Ph.D. Degree) in Computer Science and Engineering at Visvesvaraya Technological University. He has 10 years of teaching experience at both Under Graduate and Post Graduate level. His research interests include Network Security, Wireless Senor Network, Ad-hoc networks, Machine Learning, IoT and cryptography. He has published more than 30 research papers including SCI, Scopus and WoS publications in various international journals includes IEEE Transactions, Springer, Elsevier, InderScience, Taylor and Francis and Wiley. He has published more than 7 Book chapters in Springer, Elsevier, Taylor and Francis, IGI Global and Wiley. He has edited 4 Books. Dr. Gowtham has received project grant from IISC- ARTPARK in the year 2024. He worked as reviewer for various journals and conferences. He was honored as Resource Person, TPC member, Advisory committee member at National and International Seminars, Workshops and Conferences.

https://scholar.google.co.in/citations?user=KFDcozUAAAAJ&hl=en

Dr. Raghavendra K, Associate Professor in the Department of Computer Science and Engineering, received his doctoral degree from Visvesvaraya Technological University, Begaum in the year 2023. He has studied M. Tech. in Computer Science and Engineering from National Institute of Engineering (NIE), Mysore and BE in Computer Science and Engineering from Sri Jaya Chamarajendra college of Engineering (SJCE) Mysore. He has 3 years of Industry experience and 13 years of academic experience. He has published 9 research papers in various international journals and book chapters. He has one patent in his name. He has reviewed several research articles for reputed journals and international conferences. His research interests are network security, cyber security and cloud computing.

https://scholar.google.co.in/citations?user=Wux5xp4AAAAJ&hl=en

Dr. Rajeshwari D has awarded by B.E, M.Tech. and Ph.D degree in Computer Science & Engineering from Visvesvaraya Technological University Belagavi, India. Currently she is working as Assistant Professor, in the department of Information Science & Engineering, The National Institute of Engineering (North Campus), Mysore. She has Published 13 Journal papers in reputed Journals, 5+ Conference Publications and Book Chapter. Her research interests include Data Mining, Artificial Intelligence, Internet of Things, Block Chain Technology and Data Analytics. She has around 19+ years of teaching experience.

https://scholar.google.com/citations?user=zjYJGMIAAAAJ&hl=en.