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
eBook - ePub
Emerging Trends in Machine Learning, Data Science, and Internet of Things
(Part 2)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Emerging Trends in Machine Learning, Data Science, and Internet of Things
(Part 2)
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Table of contents
- Welcome
- Table of Contents
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- Preface
- Summary of the Chapters
- List of Contributors
- Section 1: Machine Learning
- AR-Based Interactive 3D Alphabets for Dynamic Object
- Network Traffic Application Detection and Classification Using Extreme Gradient Boosting
- Drive-Safe: Smart Braking Against Neutral Danger Using A Machine Learning Approach
- Integrated Wellness: A Comprehensive Analysis of the Synergistic Impact of Combined Workout and Nutrition Features in Fitness Applications
- Wages Authentication System for Labor's Welfare
- Ensemble Learning for Heart Disease Prediction Using Lifestyle Parameters: A Comparative Analysis of Models
- Section 2: Data Science
- Systematic Review of Innovative Blockchain-Based Method for Secure Healthcare Data in Cloud Applications
- Decentralized Marketplace for Educators Leveraging Blockchain Technology for Transparent and Secure Content Monetization
- Automated Web and Video Summarization Tool Using NLP Techniques
- Analysis of Daily Usage of Smartphone Apps and their Effect on Students' Performance and Work
- Section 3: Internet of Things
- Implementation of IoT-Enabled Cloud-Based Healthcare System
- Transforming Agriculture: Enabling Informed Decision-Making with a Real-Time Smart Scale Management System (AgriScale-Pro)
- Digital Content Authenticity and Verification System Using Blockchain
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Yes, you can access Emerging Trends in Machine Learning, Data Science, and Internet of Things by Manoj Kumar,Sachin Kumar Gupta,Navnath Kale in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.