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AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics (2021)

Contributor(s): Malik, Hasmat (Editor), Fatema, Nuzhat (Editor), Alzubi, Jafar A (Editor)

ISBN: 9789813344143

Publisher: Springer

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Pub Date: February 16, 2022

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.09" H x 9.21" L x 6.14" W ( 1.65 lbs) 513 pages

Series: Studies in Big Data

Descriptions, Reviews, etc.

Description: 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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