Intelligent Data Analytics, IoT, and Blockchain [Hardcover]

This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, it examines the opportunities and challenges of developing systems and applications exploiting these technologies.

1. Skin Cancer Classification Using Image Processing with Machine Learning Techniques 2. Trusted Location Information Verification Using Blockchain in Internet of Vehicles 3. Comparative Analysis of Word-Embeddings Techniques Using LSTM Model 4. A Deep Learning Approach for Mask-Based Face Detection 5. A Scalable System Architecture for Smart Cities Based on Cognitive IoT 6. Bagging-Based Ensemble Learning for Imbalanced Data Classification Problem 7. Design and Implementation of a Network Security Model within a Local Area Network 8. Review Study of Modern Symmetric and Asymmetric Cryptographic Techniques 9. Quantum Computing-Based Image Representation with IBM QISKIT Liberaries 10. Source Authentication of Videos Shared on Social Media 11. Task Scheduling using MOIPSO Algorithm in Cloud Computing 12. Feature Selection-Based Comparative Analysis for Cardiovascular Disease Prediction using Machine Learning Model 13. Use of the Cryptography in Networking to Preserve Secure Systems 14. Issues and Challenges of Blockchain in Healthcare15. Accident Prediction by Vehicle Tracking 16. Blockchain-Based Cryptographic Model in Cloud Environment 17. Big- Data Analytics in Disaster Management 18. Fuzzy Minimum Spanning Tree Calculation-Based Approach on Acceptability Index Method 19. Encoder/Decoder Transformer-Based Framework to Detect Hate Speech from Tweets 20. Understanding Dark Web Protection against Cyber Attacks 21. Various Elements of Analysis of Authentication Schemes for IoT Devices: A Brief Overview 22. A Study of Carbon Emissions in Transport Sector 23. An Exploration of Blockchain Technology: Applicability, Limitations, and Opportunities 24. A SurlÓ!