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AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics
Malik, Hasmat ; Fatema, Nuzhat ; Alzubi, Jafar A. (Author)
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Springer
· Paperback
AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics - Malik, Hasmat ; Fatema, Nuzhat ; Alzubi, Jafar A.
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Synopsis "AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics"
Optimization Solutions for Demand Side Management and Monitoring.- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics.- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method.- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations.- Routing Protocols for Internet of Vehicles: A Review.- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey.- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm.- Artificial Intelligence: It's Role in Diagnosis and Monitoring against COVID-19.- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics.- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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