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KI und maschinelles Lernen Paradigmen für Gesundheitsüberwachungssystem: Intelligente Daten

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ISBN-13: 9789813344143

Book Title: AI and Machine Learning Paradigms for Health Monitoring System

ISBN: 9789813344143

Subject Area: Mathematics, Computers, Technology & Engineering, 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), Intelligence (Ai) & Semantics, Probability & Statistics / General, 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

Über dieses Produkt

Product Identifiers

Publisher

Springer

ISBN-10

9813344148

ISBN-13

9789813344143

eBay Product ID (ePID)

6057278333

Product Key Features

Number of Pages

Xxiv, 513 Pages

Publication Name

Ai and Machine Learning Paradigms for Health Monitoring System : Intelligent Data Analytics

Language

English

Publication Year

2022

Subject

Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / General, General

Type

Textbook

Subject Area

Mathematics, Computers, Technology & Engineering, 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

Series Volume Number

Number of Volumes

1 vol.

Illustrated

Yes

Dewey Decimal

610.28563

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.

Synopsis

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.

LC Classification Number

Q342