NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Artificial Intelligence Theory, Models, and Applications (Record no. 5961)

MARC details
000 -LEADER
fixed length control field 06409cam a2200553Mu 4500
001 - CONTROL NUMBER
control field 9781003175865
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122832.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210904s2021 xx o ||| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000460605
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000460606
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003175865
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003175864
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000460629
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000460622
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1032008091
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032008097
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1266907503
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1266907503
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 044000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 082000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kaliraj, P.
245 10 - TITLE STATEMENT
Title Artificial Intelligence Theory, Models, and Applications
Medium [electronic resource].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Milton :
Name of publisher, distributor, etc. Auerbach Publishers, Incorporated,
Date of publication, distribution, etc. 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (507 p.)
500 ## - GENERAL NOTE
General note Description based upon print version of record.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- 1. Artificial Intelligence: A Complete Insight -- 1.1 Introduction -- 1.2 Artificial Intelligence: What and Why? -- 1.3 History of AI -- 1.3.1 Turing Test -- 1.4 Foundations of AI -- 1.4.1 Logic and Reasoning -- 1.4.2 Pattern Recognition -- 1.4.3 Cognitive Science -- 1.4.4 Heuristics -- 1.4.5 Philosophy -- 1.4.6 Mathematics -- 1.4.7 Psychology -- 1.4.8 Linguistics -- 1.5 The AI Environment -- 1.6 Application Domains of AI -- 1.6.1 Gaming -- 1.6.2 Education
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1.6.3 Healthcare -- 1.6.4 Agriculture -- 1.6.5 Entertainment -- 1.6.6 Manufacturing -- 1.6.7 Banking and Insurance -- 1.6.8 Automobiles -- 1.7 AI Tools -- 1.8 Challenges in AI -- 1.8.1 Loss of Self-Thinking -- 1.8.2 Bias in the Design of Artificial Intelligence -- 1.8.3 Limitation on Data -- 1.8.4 Threat to Manpower -- 1.8.5 Lifestyle Changes -- 1.8.6 Security Threats -- 1.9 Future Prospects of AI -- 1.9.1 Applicability -- 1.9.2 Dynamism in AI Model -- 1.9.3 Economic Feasibility -- 1.9.4 User Training -- 1.10 Summary -- References -- 2. Artificial Intelligence and Gender
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.1 What Is Artificial Intelligence? -- 2.2 What Is Machine Learning? -- 2.2.1 Supervised Learning -- 2.2.2 Unsupervised Learning -- 2.2.3 Reinforcement Learning -- 2.3 What Is Deep Learning? -- 2.4 Artificial Intelligence Enterprise Applications -- 2.5 Artificial Intelligence and Gender -- 2.5.1 Artificial Intelligence Is Gender-Biased, But Why? -- 2.5.2 Limited Data for Training -- 2.5.3 Workplace Bias -- 2.5.4 Indifferent Approach to the ""Female Genius -- 2.5.5 Artificial Intelligence-Based Harassment -- 2.5.6 Art Reflects Life -- 2.5.7 Virtual Agents
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.5.8 Who Will Artificial Intelligence Replace? -- 2.5.9 India Is No Different -- 2.5.10 Steps Artificial Intelligence Teams Should Take to Avoid Gender Bias -- 2.6 Concluding Thoughts -- References -- 3. Artificial Intelligence in Environmental Management -- 3.1 Current Work in AI for Environment -- 3.1.1 Organizations and Their Initiatives -- 3.1.2 General Framework for AI in Environmental Management -- 3.2 AI for Cleaner Air -- Smart Pollution Control -- 3.2.1 Current Challenges -- 3.2.2 Potential AI Applications -- 3.2.3 Sample Case Study
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.3 AI for Water Preservation -- Smart Water Management -- 3.3.1 Current Challenges -- 3.3.2 Potential AI Applications -- 3.3.3 Sample Case Study -- 3.4 AI for Better Agriculture -- Smart Farming -- 3.4.1 Current Challenges -- 3.4.2 Potential AI Applications -- 3.4.3 Sample Case Study -- 3.5 AI for Better e-Waste Management -- Smart Monitoring/Control -- 3.5.1 Current Challenges -- 3.5.2 Potential AI Applications -- 3.5.3 Sample Case Study -- 3.6 AI for Climate Control -- Smart Energy Optimization -- 3.6.1 Current Challenges -- 3.6.2 Potential AI Applications -- 3.6.3 Sample Case Study
500 ## - GENERAL NOTE
General note 3.7 Risks and Rewards of AI in Environmental Management.
520 ## - SUMMARY, ETC.
Summary, etc. This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describestheir tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI's role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Mathematical models.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Artificial Intelligence
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Neural Networks
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Bioinformatics
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Devi, T.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003175865">https://www.taylorfrancis.com/books/9781003175865</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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