Artificial Intelligence Theory, Models, and Applications [electronic resource].
Kaliraj, P.
Artificial Intelligence Theory, Models, and Applications [electronic resource]. - Milton : Auerbach Publishers, Incorporated, 2021. - 1 online resource (507 p.)
Description based upon print version of record. 3.7 Risks and Rewards of AI in Environmental Management.
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 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 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 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 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
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.
9781000460605 1000460606 9781003175865 1003175864 9781000460629 1000460622
Artificial intelligence--Mathematical models.
COMPUTERS / Artificial Intelligence
COMPUTERS / Neural Networks
COMPUTERS / Bioinformatics
Q335
006.3
Artificial Intelligence Theory, Models, and Applications [electronic resource]. - Milton : Auerbach Publishers, Incorporated, 2021. - 1 online resource (507 p.)
Description based upon print version of record. 3.7 Risks and Rewards of AI in Environmental Management.
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 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 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 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 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
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.
9781000460605 1000460606 9781003175865 1003175864 9781000460629 1000460622
Artificial intelligence--Mathematical models.
COMPUTERS / Artificial Intelligence
COMPUTERS / Neural Networks
COMPUTERS / Bioinformatics
Q335
006.3