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 1)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Emerging Trends in Machine Learning, Data Science, and Internet of Things
(Part 1)
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Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- Preface
- List of Contributors
- Summary of the Chapters
- Section 1: Machine Learning
- Skin Lesion Classification Using Data-Efficient Image Transformer
- Neurological Tests for Human Epileptic Anomaly Detection
- From Tweets to Insights: A Diverse Classifier Approach to Analyze Sentiments on Twitter
- Unveiling Optimization Algorithms for Finetuning of Sentiment Analysis
- Comparative Analysis of Bacterial Colony Counting (Detection, Quantification, and Clustering): YoloV8 vs Blob Identification
- Fire Detection at an Early Stage Using Deep Learning Through a Real-Time Video
- Enhancing Sustainable Practices in Food Management Using a Machine Learning Approach
- Cancerous Gene Detection through Machine Learning Techniques
- Virtual Mouse Using Hand Gestures
- Section 2: Data Science
- Improving Automated Grading Systems: A Comparison Of Machine Learning Techniques For Recognising Handwritten Digits
- Implementation of Cloud-Based Healthcare System
- Enhancing Network Security through AI-Powered Anomaly Detection Using Generative Adversarial Networks
- Section 3: Internet of Things
- Conflict Resolution in Uncertain Situations for Self-Driving Cars
- Security and Privacy Preserving in Cloud Computing Using IoT
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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.