Explainable Ai And Blockchain For Secure And Agile Supply Chains
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Explainable AI and Blockchain for Secure and Agile Supply Chains
This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, the chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain to ensure data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders. This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.
Explainable AI and Blockchain for Secure and Agile Supply Chains
Author: Ajay Kumar Sharma (Of Geetanjali Institute of Technical Studies)
language: en
Publisher:
Release Date: 2025
"This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, the chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain to ensure data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders. This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains"-- Provided by publisher.
Machine Learning for Drone-Enabled IoT Networks
This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: •Machine learning algorithms for drone-enabled IoT networks •Sensing and data collection with drones for IoT applications •Data analysis and processing for IoT networks assisted by drones •Energy-efficient and scalable solutions for drone-assisted IoT networks •Security and privacy issues in drone-enabled IoT networks •Emerging trends and future directions in ML for drone-assisted IoT networks.