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Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security.
Intelligent Green Internet of Things: An Investigation
The Roleof Artificial Intelligence in the Education Sector: Possibilities and Challenges
Multidisciplinary Applications of Machine Learning
Prediction of Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure AI Services
Advanced Agricultural Systems: Identification, Crop Yields and Recommendation Using Image Processing Techniques and Machine-Learning Algorithms
SP-IMLA: Stroke Prediction Using an Integrated Machine-Learning Approach
Multimodal Medical Image Fusion Using Laplacian Re-Decomposition
Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing
Blockchain in Healthcare, Supply-Chain Management, and Government Policies
Electricity and Hardware Resource Consumption in Cryptocurrency Mining
Cryptographic Hash Functions and Attack Complexity Analysis
Mixed Deep Learning and Statistical Approach to Network Anomaly Detection
Intrusion Detection System Using Deep Learning Asymmetric Autoencoder