Artificial intelligence theory, models, and applications:
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, h...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2022
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| Ausgabe: | First edition |
| Schlagworte: | |
| Zusammenfassung: | 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 worldA general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimizationThe potential and application of AI in medical imaging as well as the challenges of AI in precision medicineAI’s role in the diagnosis of various diseases, such as cancer and diabetesThe role of machine learning models in product development and statistically monitoring product qualityMachine learning to make robust and effective economic policy decisionsMachine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable resultsABOUT 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 |
| Beschreibung: | 1. Artificial Intelligence: A Complete InsightDr.T.Amudha; 2. Artificial Intelligence and GenderDr. K. Mangayarkarasi; 3. Artificial Intelligence in Environmental ManagementRahul Kharat; 4. Artificial Intelligence in Medical ImagingC. S. Sureka; 5. Artificial Intelligence (AI): Improving Customer Experience (CX)K VinayKumar Nair; 6. Artificial Intelligence in RadiotherapyC. S. Sureka; 7. Artificial Intelligence In Systems Biology: Opportunities In Agriculture, Biomedicine, and HealthcareS. Dhivya, S. Hari Priya and R. Sathishkumar; 8. Artificial Intelligence Applications in Genetic Disease and Syndrome DiagnosisDr. P. Vinayaga Moorthi; 9. Artificial Intelligence in Disease Diagnosis Via SmartphoneDr.Saradhadevi Muthukrishnan; 10. Ai In AgricultureDr. M. Sakthi Asvini and Dr. T. Amudha; 11. Artificial Intelligence-based Ubiquitous Smart Learning Educational EnvironmentsDr. S. Anuradha; 12. Artificial Intelligence in Assessment and Evaluation of Program OutcomesDr. V. - Saravanan and D.Vinotha; 13. Artificial Intelligence-based Assistive Technology Dr. P.Subashini and Dr.M.Krishnaveni ; 14. Machine LearningItalia Joseph Maria and Devi Thirupathi; 15. Machine Learning in Human Resource ManagementDr. M. Punithavalli; 16. Machine Learning Models in Product Development and its Statistical EvaluationDr. V. Kaviyarasu; 17. Influence of Artificial Intelligence in Clinical and Genomic Diagnostics E. Kiruba Nesamalar, Dr.J.Satheeshkumar, and Dr. T. Amudha; 18. Applications of Machine Learning in Economic Data Analysis and Policy ManagementBrijesh Kumar Gupta; 19. Industry 4.0: Machine Learning in Video IndexingR. Amsaveni and Prof. M. Punithavalli; 20. A Risk Based Ensemble Classifier for Breast Cancer Diagnosis Dr. B.Malar, Priyadarshini Srirambalaji, and T.S Vanitha; 21. Linear Algebra for Machine LearningDr. P. Dhanalakshmi; 22. Identification of Lichen Plants and Butterflies Using Image Processing Techniques in Cloud ComputingDr. P. Ponmurugan, Prof. K. |
| Beschreibung: | xxv, 479 Seiten Illustrationen 235 mm |
| ISBN: | 9781032008097 9781032106137 |
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| 500 | |a 1. Artificial Intelligence: A Complete InsightDr.T.Amudha; 2. Artificial Intelligence and GenderDr. K. Mangayarkarasi; 3. Artificial Intelligence in Environmental ManagementRahul Kharat; 4. Artificial Intelligence in Medical ImagingC. S. Sureka; 5. Artificial Intelligence (AI): Improving Customer Experience (CX)K VinayKumar Nair; 6. Artificial Intelligence in RadiotherapyC. S. Sureka; 7. Artificial Intelligence In Systems Biology: Opportunities In Agriculture, Biomedicine, and HealthcareS. Dhivya, S. Hari Priya and R. Sathishkumar; 8. Artificial Intelligence Applications in Genetic Disease and Syndrome DiagnosisDr. P. Vinayaga Moorthi; 9. Artificial Intelligence in Disease Diagnosis Via SmartphoneDr.Saradhadevi Muthukrishnan; 10. Ai In AgricultureDr. M. Sakthi Asvini and Dr. T. Amudha; 11. Artificial Intelligence-based Ubiquitous Smart Learning Educational EnvironmentsDr. S. Anuradha; 12. Artificial Intelligence in Assessment and Evaluation of Program OutcomesDr. V. | ||
| 500 | |a - Saravanan and D.Vinotha; 13. Artificial Intelligence-based Assistive Technology Dr. P.Subashini and Dr.M.Krishnaveni ; 14. Machine LearningItalia Joseph Maria and Devi Thirupathi; 15. Machine Learning in Human Resource ManagementDr. M. Punithavalli; 16. Machine Learning Models in Product Development and its Statistical EvaluationDr. V. Kaviyarasu; 17. Influence of Artificial Intelligence in Clinical and Genomic Diagnostics E. Kiruba Nesamalar, Dr.J.Satheeshkumar, and Dr. T. Amudha; 18. Applications of Machine Learning in Economic Data Analysis and Policy ManagementBrijesh Kumar Gupta; 19. Industry 4.0: Machine Learning in Video IndexingR. Amsaveni and Prof. M. Punithavalli; 20. A Risk Based Ensemble Classifier for Breast Cancer Diagnosis Dr. B.Malar, Priyadarshini Srirambalaji, and T.S Vanitha; 21. Linear Algebra for Machine LearningDr. P. Dhanalakshmi; 22. Identification of Lichen Plants and Butterflies Using Image Processing Techniques in Cloud ComputingDr. P. Ponmurugan, Prof. K. | ||
| 520 | |a 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 worldA general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimizationThe potential and application of AI in medical imaging as well as the challenges of AI in precision medicineAI’s role in the diagnosis of various diseases, such as cancer and diabetesThe role of machine learning models in product development and statistically monitoring product qualityMachine learning to make robust and effective economic policy decisionsMachine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable resultsABOUT 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 | ||
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| spelling | Artificial intelligence theory, models, and applications edited by P. Kaliraj, T. Devi First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2022 xxv, 479 Seiten Illustrationen 235 mm txt rdacontent n rdamedia nc rdacarrier 1. Artificial Intelligence: A Complete InsightDr.T.Amudha; 2. Artificial Intelligence and GenderDr. K. Mangayarkarasi; 3. Artificial Intelligence in Environmental ManagementRahul Kharat; 4. Artificial Intelligence in Medical ImagingC. S. Sureka; 5. Artificial Intelligence (AI): Improving Customer Experience (CX)K VinayKumar Nair; 6. Artificial Intelligence in RadiotherapyC. S. Sureka; 7. Artificial Intelligence In Systems Biology: Opportunities In Agriculture, Biomedicine, and HealthcareS. Dhivya, S. Hari Priya and R. Sathishkumar; 8. Artificial Intelligence Applications in Genetic Disease and Syndrome DiagnosisDr. P. Vinayaga Moorthi; 9. Artificial Intelligence in Disease Diagnosis Via SmartphoneDr.Saradhadevi Muthukrishnan; 10. Ai In AgricultureDr. M. Sakthi Asvini and Dr. T. Amudha; 11. Artificial Intelligence-based Ubiquitous Smart Learning Educational EnvironmentsDr. S. Anuradha; 12. Artificial Intelligence in Assessment and Evaluation of Program OutcomesDr. V. - Saravanan and D.Vinotha; 13. Artificial Intelligence-based Assistive Technology Dr. P.Subashini and Dr.M.Krishnaveni ; 14. Machine LearningItalia Joseph Maria and Devi Thirupathi; 15. Machine Learning in Human Resource ManagementDr. M. Punithavalli; 16. Machine Learning Models in Product Development and its Statistical EvaluationDr. V. Kaviyarasu; 17. Influence of Artificial Intelligence in Clinical and Genomic Diagnostics E. Kiruba Nesamalar, Dr.J.Satheeshkumar, and Dr. T. Amudha; 18. Applications of Machine Learning in Economic Data Analysis and Policy ManagementBrijesh Kumar Gupta; 19. Industry 4.0: Machine Learning in Video IndexingR. Amsaveni and Prof. M. Punithavalli; 20. A Risk Based Ensemble Classifier for Breast Cancer Diagnosis Dr. B.Malar, Priyadarshini Srirambalaji, and T.S Vanitha; 21. Linear Algebra for Machine LearningDr. P. Dhanalakshmi; 22. Identification of Lichen Plants and Butterflies Using Image Processing Techniques in Cloud ComputingDr. P. Ponmurugan, Prof. K. 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 worldA general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimizationThe potential and application of AI in medical imaging as well as the challenges of AI in precision medicineAI’s role in the diagnosis of various diseases, such as cancer and diabetesThe role of machine learning models in product development and statistically monitoring product qualityMachine learning to make robust and effective economic policy decisionsMachine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable resultsABOUT 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 bisacsh / COMPUTERS / Neural Networks bisacsh / COMPUTERS / Bioinformatics (DE-588)4143413-4 Aufsatzsammlung gnd-content Kaliraj, P. edt Devi, T. edt Erscheint auch als Online-Ausgabe 978-1-003-17586-5 |
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