This book explains moral dilemmas in the IT industry focussing on a different area of IT ethics. It starts by introducing theories, decision-making models, and the fundamental function of moral leadership in IT companies followed by ethical obligations related to intellectual property, privacy, professional ethics, and software development.  Meer

This book explores opportunities and challenges in the field of IoE security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems.  Meer

This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI.  Meer

The book explores the complex correlation between blockchain technology and sustainability, demonstrating the potential of cutting-edge computational intelligence methods to address critical environmental and societal challenges.  Meer

This covers challenges, opportunities, and open research directions for Cyber-Physical Systems (CPS). It focuses on the design and development of Machine Learning/Metaheuristics-enabled methods, and Blockchain for security, resource management, computation offloading, trust management, and others in edge, fog/cloud computing, IoT, & IoE.  Meer

This book consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from use of various SDN frameworks and the security challenges thus introduced, are also discussed.  Meer

• Focuses on the computational intelligence techniques of security system design • Covers applications and algorithms of discussed computational...  Meer

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection.  Meer

This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.  Meer