AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics (2021)Paperback - 2021, 16 February 2022

AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics (2021)
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Part of Series
Studies in Big Data
Print Length
513 pages
Language
English
Publisher
Springer
Date Published
16 Feb 2022
ISBN-10
9813344148
ISBN-13
9789813344143

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.

Product Details

Book Edition:
2021
Book Format:
Paperback
Country of Origin:
NL
Date Published:
16 February 2022
Dimensions:
23.39 x 15.6 x 2.77 cm
ISBN-10:
9813344148
ISBN-13:
9789813344143
Language:
English
Location:
Singapore
Pages:
513
Publisher:
Springer
Weight:
748.43 gm

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