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AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9789813344143
Book Title
AI and Machine Learning Paradigms for Health Monitoring System
ISBN
9789813344143
Subject Area
Computers, Technology & Engineering, Mathematics, Medical
Publication Name
Ai and Machine Learning Paradigms for Health Monitoring System : Intelligent Data Analytics
Publisher
Springer
Item Length
9.3 in
Subject
Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Publication Year
2022
Series
Studies in Big Data Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Nuzhat Fatema
Item Weight
28.9 Oz
Item Width
6.1 in
Number of Pages
Xxiv, 513 Pages

About this product

Product Information

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Product Identifiers

Publisher
Springer
ISBN-10
9813344148
ISBN-13
9789813344143
eBay Product ID (ePID)
6057278333

Product Key Features

Number of Pages
Xxiv, 513 Pages
Language
English
Publication Name
Ai and Machine Learning Paradigms for Health Monitoring System : Intelligent Data Analytics
Publication Year
2022
Subject
Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Type
Textbook
Subject Area
Computers, Technology & Engineering, Mathematics, Medical
Author
Nuzhat Fatema
Series
Studies in Big Data Ser.
Format
Trade Paperback

Dimensions

Item Weight
28.9 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Series Volume Number
86
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
610.28563
Lc Classification Number
Q342
Table of Content
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.
Copyright Date
2021

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