Name: Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies (en Inglés)
SKU: 66858224
Price: 94.70 USD
Availability: InStock
Author: Sharma, Rewa; Olalekan Salau, Ayodeji; Kaushik, Keshav

portada Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies (en Inglés)

Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies (en Inglés)

Formato

Libro Físico

Editorial

Bentham Science Publishers

Autor

Sharma, Rewa; Olalekan Salau, Ayodeji; Kaushik, Keshav

Idioma

Inglés

N° páginas

276

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x1.8 cm

ISBN13

9789815324235

Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies (en Inglés)

Sharma, Rewa; Olalekan Salau, Ayodeji; Kaushik, Keshav (Autor) · Bentham Science Publishers · Tapa Blanda

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Reseña del libro "Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies (en Inglés)"

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.