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{ "item_title" : "Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies", "item_author" : [" Rewa Sharma", "Ayodeji Olalekan Salau", "Keshav Kaushik "], "item_description" : "With contributions from leading researchers and industry experts, this book examines cutting-edge applications, integration models, and sustainable solutions across sectors including finance, agriculture, healthcare, IoT, and smart cities. Chapters cover blockchain-enabled fintech operations, fraud detection, deep learning-driven intrusion detection, AI-enhanced smart contracts, and data-driven healthcare innovations. Case studies, methodologies, and future-oriented insights demonstrate how these technologies can foster secure, efficient, and sustainable ecosystems. By bridging theoretical foundations with practical implementations, this book offers readers a roadmap to navigate the opportunities and challenges shaping the next generation of intelligent, blockchain-powered systems. Key Features: -Integrates blockchain with machine learning for real-world applications.-Applies advanced analytics, automation, and AI models to enhance blockchain ecosystems.-Develops secure solutions in fintech, agriculture, healthcare, IoT, and smart cities.-Evaluates case studies and frameworks addressing challenges and vulnerabilities.-Explores sustainable, future-ready trends shaping intelligent systems.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/532/423/9815324233_b.jpg", "price_data" : { "retail_price" : "90.00", "online_price" : "90.00", "our_price" : "90.00", "club_price" : "90.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies|Rewa Sharma

Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies

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Overview

With contributions from leading researchers and industry experts, this book examines cutting-edge applications, integration models, and sustainable solutions across sectors including finance, agriculture, healthcare, IoT, and smart cities. Chapters cover blockchain-enabled fintech operations, fraud detection, deep learning-driven intrusion detection, AI-enhanced smart contracts, and data-driven healthcare innovations. Case studies, methodologies, and future-oriented insights demonstrate how these technologies can foster secure, efficient, and sustainable ecosystems. By bridging theoretical foundations with practical implementations, this book offers readers a roadmap to navigate the opportunities and challenges shaping the next generation of intelligent, blockchain-powered systems. Key Features: -Integrates blockchain with machine learning for real-world applications.
-Applies advanced analytics, automation, and AI models to enhance blockchain ecosystems.
-Develops secure solutions in fintech, agriculture, healthcare, IoT, and smart cities.
-Evaluates case studies and frameworks addressing challenges and vulnerabilities.
-Explores sustainable, future-ready trends shaping intelligent systems.

This item is Non-Returnable

Details

  • ISBN-13: 9789815324235
  • ISBN-10: 9815324233
  • Publisher: Bentham Science Publishers
  • Publish Date: January 2026
  • Dimensions: 10 x 7 x 0.72 inches
  • Shipping Weight: 1.47 pounds
  • Page Count: 276

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