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Author:   Amit Kumar Tyagi (Assistant Professor, Vellore Institute of Technology (VIT), Chennai Campus, School of Computer Science and Engineering, Chennai, Tamilnadu, India) ,  Ajith Abraham (Director, Machine Intelligence Research Labs (MIR Labs), Australia) ,  Farookh Khadeer Hussain (Associate Professor, University of Technology Sydney, School of Software, Australia) ,  Arturas Kaklauskas (Professor, Vilnius Gediminas Technical University, Lithuania)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839533396

ISBN 10:   1839533390
Pages:   679
Publication Date:   14 October 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Introduction to machine learning, blockchain technologies, and Big Data analytics for IoTs: concepts, open issues, and critical challenges Chapter 2: Image enhancement on low-light and dark images for object detection using Artificial Intelligence for field practitioners Chapter 3: Cache memory architecture for the convergence of machine learning, Internet of Things (IoT), and blockchain technologies Chapter 4: Machine learning algorithms for Big Data analytics including deep learning Chapter 5: Machine learning-based blockchain technologies for data storage: challenges, and opportunities Chapter 6: Clustering crowdsourced healthcare data from drones using Big Data analytics Chapter 7: Authentication and authorization in cloud computing using blockchain Chapter 8: Fundamentals of machine learning and blockchain technologies for applications in cybersecurity Chapter 9: Real-world applications of generative adversarial networks and their role in blockchain technology Chapter 10: Internet of Things (IoTs)-enabled security using artificial intelligence and blockchain technologies Chapter 11: Blockchain network with artificial intelligence - DeFi affair management Chapter 12: Vulnerabilities of smart contracts and solutions Chapter 13: Data analytics for socio-economic factors affecting crime rates Chapter 14: Deployment of automated teller machinery for e-polling Chapter 15: Machine learning-based blockchain technology for protection and privacy against intrusion attacks in intelligent transportation systems Chapter 16: Blockchain-enabled Internet of Things (IoTs) platforms for vehicle sensing and transportation monitoring Chapter 17: Blockchain-enabled Internet of Things (IoTs) platforms for the healthcare sector Chapter 18: An integrated dimensionality reduction model for classifying IoT-enabled smart healthcare genomic data Chapter 19: Blockchain-based learning automated analytics platform in telemedicine Chapter 20: A sensor-based architecture for telemedical and environmental air pollution monitoring system using 5G and blockchain Chapter 21: Blockchain-enabled Internet of Things (IoT) platforms for financial services Chapter 22: Blockchain and machine learning: an approach for predicting the commodity prices Chapter 23: Knowledge extraction from abnormal stock returns: evidence from Indian stock market Chapter 24: Impact of influence analysis of social media fake news - a machine learning perspective Chapter 25: Application of machine learning techniques based on real-time images for site specific insect pest and disease management of crops Chapter 26: A prioritized potential framework for combined computing technologies: IoT, Machine Learning, and blockchain Chapter 27: Conclusion to this book

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Author Information

"Amit Kumar Tyagi is an assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai Campus, Chennai, Tamil Nadu, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber physical systems, smart & secure computing and privacy. He has contributed to several projects such as ""AARIN"" and ""P3-Block"" to address some of the open issues related to the privacy breaches in vehicular applications (such as parking) and medical cyber physical systems. He is a member of the IEEE. He received his PhD from Pondicherry Central University, India. Ajith Abraham is the director of Machine Intelligence Research Labs (MIR Labs), Australia. MIR Labs are a not-for-profit scientific network for innovation and research excellence connecting industry and academia. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves on the editorial board of several international journals. He received his PhD in Computer Science from Monash University, Melbourne, Australia. Farookh Khadeer Hussain is an associate professor with the School of Software, University of Technology Sydney, Australia. He is also an associate member of the Advanced Analytics Institute and a core member of the Centre for Artificial Intelligence. His key research interests include trust-based computing, cloud of things, blockchains, and machine learning. He has published widely in these areas in top journals, such as FGCS, the Computer Journal, JCSS, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Industrial Electronics. He holds a PhD from Curtin University, Perth, Australia. Arturas Kaklauskas is a professor at Vilnius Gediminas Technical University, Lithuania. His areas of interest include affective computing, Internet of Things, Big Data and text analytics, intelligent event prediction, opinion mining, intelligent decision support systems, neuro-marketing, intelligent tutoring systems, massive open online courses (MOOCS), smart built environment, energy and resilience management. He is editor-in-chief of the Journal of Civil Engineering and Management, editor of Engineering Applications of Artificial Intelligence, and associate editor of Ecological Indicators Journal. His publications include nine books. The Belarusian State Technological University (Minsk, Belarus) has awarded him an Honorary Doctorate. R. Jagadeesh Kannan is a professor at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India. His research focuses on semantic web, network security, software engineering, and artificial intelligence. He is an active member of the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), Software Process Improvement Network (SPIN), International Association of Engineers (IAENG), Association of Computer Electronics & Electrical & Engineers (ACEEE), International Association of Computer Science & Information Technology (IACSIT), Research GATE - Scientific Network, Society of Digital Information and Wireless Communications (SDIWC), Computer Science Teachers Association (CSTA), and the International forum of Researchers Students and Academician (IFRSA). He received a PhD from Anna University, Tamil Nadu, India in 2011."

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