The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology.
This book:
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Address the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence
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Provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology
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Discusses the evolution of blockchain and artificial intelligence technology, from fundamental theories to practical aspects
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Illustrates the most recent research solutions that handle the security and privacy threats while considering the resource-constrained in Industry 4.0 devices
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Showcases the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection
The text aims to fill the gap between the theories of blockchain and its practical application in business, government, and defense among other areas. It further highlights the challenges associated with the use of blockchain for various industry 4.0 applications such as data analytics, software-defined networks, cyber-physical systems, drones, and cybersecurity. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, manufacturing engineering, and industrial engineering.
Preface
Chapter 1 : CNN Based Oral Cancer and Dental Caries Detection for Computer Aided Diagnosis
Chapter 2 : Artificial Intelligence for Healthcare 4.0
Chapter 3 : Artificial Intelligence's Foresight in Cyber Security
Chapter 4 : Theories of Blockchain and Distributed Systems
Chapter 5 : Analysis of Critically Polluted Locations using the IoT & AI Infrastructure
Chapter 6 : Analysis of Deep learning techniques in Bio Medical Images
Chapter 7 : Time-Frequency Representations of One-Dimensional Signals using Wigner-Ville Distribution
Chapter 8 : An Efficient 3U CubeSat Downlink Transmission Based on an S-band Lightweight CPW-Fed Slot Antenna
Chapter 9 : WGMs Diffractive Emission for Mm-Wave All-Round Antennas with Internet of Things
Chapter 10 : Apache Hadoop Framework for Big Data Analytics using AI
Chapter 11 : Envisioning the Future of Blockchain in SMEs : Insights from a Survey
Chapter 12 : Deep Learning Techniques for the Prediction of Traffic Jam Management for Smart City Infrastructure
Chapter 13 : The Role of Ethical Chatbots for Enhancing Customer Experience in Digital Contexts : An Interdisciplinary Perspective
Chapter 14 : An Efficient Gas Leakage Detection and Smart Alerting System using IoT
Chapter 15 : Principles and Goals of Industry 4.0
Chapter 16 : The Positionality of Culture in Teaching EFL in Technology Supported Classrooms : Teachers’ Perceptions and Practices
Chapter 17 : Algorithm For Secured Energy Efficient Routing in Wireless Sensor Network : A Review
Chapter 18 : Role of Cloud Computing and Block-Chain Technology in Paradigm Shift to Modern Online Teaching Culture in Education Sector
Chapter 19 : Artificial intelligence-based communication systems used in Industry 4.0 : For Multiple Input and Multiple Output antenna 5G Wireless Devices
Chapter 20 : Wireless Technologies & Internet of Things
Chapter 21 : Artificial Intelligence & Blockchain Based Intervention in Building Infrastructure
Index
