Blockchain Intelligent Systems

Protocols, Application and Approaches for Future Generation Computing
1. Auflage 2024
ISBN: 978-1-032-32220-9
Verlag: CRC Press

Buch, Englisch, 240 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 531 g

Blockchain provides an environment where technologies converge to provide numerous benefits. However, there are still many problems ahead, and changes are required at all levels - technology, algorithms, and human-computer interaction for widespread acceptance of blockchain intelligence systems. This book reviews blockchain technology and the current developments in research and business applications. It explores the real-time applications and issues that will bring the synergy needed to materialize the goal of blockchain intelligence.

Researchers in various fields such as Blockchain, Data Analysis, IoT, Data Science, Crypto currencies will find this book useful. Students and professionals working on Blockchain in artificial intelligence, IoT, Healthcare, Robotics, Soft computing, and Data science will also benefit from this. It offers a realistic and thorough introduction that supports programmers, students and researchers in other disciplines. The book comprises chapters dealing with various issues, to provide readers with greater readability, versatility and adaptability.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Julie, E. Golden

Robinson, Y. Harold

Vedha Nayahi, J Jesu

Vaiyapuri, Thavavel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

BLOCKCHAIN SOCIAL THEORY AND SOCIETAL IMPACT. COMPARABLE WORKS IN BLOCKCHAIN TECHNOLOGY. AN INTERGRATION OF IOT AND BLOCKCHAIN FOR MEDICAL APPLICATION. MEDICAL IOT APPLICATIONS USING BLOCKCHAIN. BLOCKCHAIN AND IOT FOR HEALTH-CARE APPLICATIONS. SECURE E-HEALTH SYSTEM USING BLOCKCHAIN TECHNOLOGY IN IOT ENVIRONMENT. MACHINE LEARNING MODEL FOR PREDICTING VIRAL DISEASES USING LINEAR REGRESSION. PATIENT WELLNESS: ETHEREUM BASED ELECTRONIC HEALTH RECORD STORAGE. SECURE IOT SMART HEALTH MONITORING SYSTEM (SHMS) FOR PATIENTS USING BLOCKCHAIN TECHNOLOGY. BLOCKCHAIN BASED E VOTING SYSTEM. A SECURE AND EFFICIENT STUDENT PERFORMANCE PREDICTION SYSTEM BASED ON BLOCKCHAIN AND DATA MINING TECHNOLOGIES.

Über Autor(innen)

E. Golden Julie is a Senior Assistant Professor in the Department of Computer Science and Engineering, Anna University, Tirunelveli, India. She obtained a Ph.D. in Information and Communication Engineering from Anna University, Chennai in 2017. She has almost 15 years of teaching experience and has published more than 30 papers in reputed journals and presented more than 50 papers in major conferences. She has written 10 book chapters by Springer, IGI Global Publication, etc. She has edited/co-edited 2 books, including one by Elsevier. She is also a reviewer for many journals like Computers and Electrical Engineering, Elsevier and Wireless Personal Communication, Springer.

Y. Harold Robinson is with the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore. He has a Ph.D. in Information and Communication Engineering from Anna University, Chennai in 2016. He has more than 15 years of experience in teaching. He has published more than 50 papers in reputed journals and presented more than 45 papers in various conferences and has written 4 book chapters. He has recently authored/edited 2 books (one by Elsevier). He is a reviewer for journals like Multimedia Tools and Applications, Wireless Personal Communication by Springer.

J. Jesu Vedha Nayahi completed her B.E., Computer Science and Engineering in 2001 and M.E., Computer Science and Engineering in 2004 and secured university rank. She completed her Ph.D. in Information and Communication Engineering at Anna University in 2016. She is an Assistant Professor in the Department of Computer Science and Engineering, Anna University, Tirunelveli, India. She has more than 11 years of experience in teaching and has published many papers in reputed journals and conferences. Her research interests include data privacy and security, data mining, and automata theory. 

Thavavel Vaiyapuri is an Assistant Professor in Department of Computer and Information Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia, with 20 years of academic and research experience. Her academic qualifications include a master’s degree in computer science and engineering and PhD degree. Her research interests include data science, security, computer vision, and high-performance computing. With nearly 20 years of research and teaching experience, she has published more than 50 research publications in impacted journals and international conferences. She is also a member of the IEEE Computer Society, and a Fellow of HEA, UK.