000 06409cam a2200553Mu 4500
001 9781003175865
003 FlBoTFG
005 20240213122832.0
006 m o d
007 cr cnu---unuuu
008 210904s2021 xx o ||| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000460605
020 _a1000460606
020 _a9781003175865
_q(electronic bk.)
020 _a1003175864
_q(electronic bk.)
020 _a9781000460629
_q(electronic bk. : EPUB)
020 _a1000460622
_q(electronic bk. : EPUB)
020 _z1032008091
020 _z9781032008097
035 _a(OCoLC)1266907503
035 _a(OCoLC-P)1266907503
050 4 _aQ335
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x044000
_2bisacsh
072 7 _aCOM
_x082000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 4 _a006.3
_223
100 1 _aKaliraj, P.
245 1 0 _aArtificial Intelligence Theory, Models, and Applications
_h[electronic resource].
260 _aMilton :
_bAuerbach Publishers, Incorporated,
_c2021.
300 _a1 online resource (507 p.)
500 _aDescription based upon print version of record.
505 0 _aIntro -- 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 _a1.6.3 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 _a2.1 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 _a2.5.8 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 _a3.3 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 _a3.7 Risks and Rewards of AI in Environmental Management.
520 _aThis 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 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xMathematical models.
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aCOMPUTERS / Neural Networks
_2bisacsh
650 7 _aCOMPUTERS / Bioinformatics
_2bisacsh
700 1 _aDevi, T.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003175865
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5961
_d5961