Emerging Trends in Machine Learning, Data Science, and Internet of Things (Part 2)
Overview
Emerging Trends in Machine Learning, Data Science, and Internet of Things Volumes 1 & 2 explores the technologies shaping the future of intelligent systems. Covering Machine Learning, Data Science, IoT, Blockchain, Cloud Computing, and Artificial Intelligence, the book focuses on designing and applying secure, data-driven solutions across healthcare, agriculture, transportation, education, cybersecurity, and digital content management. It blends cutting-edge research with practical implementations, including AI-driven disease prediction, anomaly detection for network security, sentiment analysis, smart IoT applications, and blockchain-enabled digital authentication. The volumes highlight both theoretical foundations and real-world case studies, offering actionable insights for researchers and industry professionals alike. Key Features: -Comprehensive coverage of AI, ML, IoT, and Data Science applications.
-Case studies on healthcare, agriculture, cybersecurity, and digital systems.
-Practical implementations and comparative analyses of models.
-Interdisciplinary insights, including AR, blockchain, and smart systems.
-Focuses on both theory and real-world application.
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Details
- ISBN-13: 9798898815189
- ISBN-10: 9798898815189
- Publisher: Bentham Science Publishers
- Publish Date: May 2026
- Dimensions: 10 x 7 x 0.73 inches
- Shipping Weight: 1.5 pounds
- Page Count: 282
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