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Optimization, machine learning, and ...

Shaheen, Momina, (1993-)

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Optimization, machine learning, and fuzzy logic = theory, algorithms, and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization, machine learning, and fuzzy logic/ Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen, editors.
Reminder of title:	theory, algorithms, and applications /
other author:	Shaheen, Momina,
Published:	Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:	1 online resource (xxi, 598 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. Optimization, Machine Learning, and Fuzzy Logic: Machine Learning Fundamentals and Introduction to Machine Learning -- Chapter 2. Overview of Optimization Algorithms in Deep Learning -- Chapter 3. AI-Driven IoT(AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring: KSK1 Approach for BP Patient Healthcare Monitoring -- Chapter 4. Kidney Stone Detection Using Machine Learning Approaches -- Chapter 5. Advanced Fuzzy Logic forPredicting Hospital Readmissions in Diabetic Patients -- Chapter 6. Lung Cancer Detection Using Machine Learning -- Chapter 7. Fuzzy Soft Sets Meets Machine Learning: A New Era in Soil Quality Prediction and Management -- Chapter 8. An Improved YOLO Model for Kiwifruit Detection -- Chapter 9. Application of Metaheuristic Algorithms in the Availability-Centered Preventive Maintenance Optimization of Coal-Fired Power Plants -- Chapter 10. Electric Vehicle Energy Management Using Fuzzy Logics and Machine Learning -- Chapter 11. Enhancing Smart Grid Efficiency: The Role of IoT Blockchain and Fuzzy Set Theory -- Chapter 12. Waste Classification Using Improved Deep Learning Method -- Chapter 13. GA Optimization forPerformance and Emission Characteristics of SI Engine via Ethanol-Gasoline Blend -- Chapter 14. HFM-YOLO: A Novel Lightweight and High-Speed Object Detection Model -- Chapter 15. Lips Reading Using Deep Learning -- Chapter 16. Rich Text Extraction and Classification From PDF Documents Using Deep Learning Techniques -- Chapter 17. Utilising Machine Learning to Forecast Staff Attrition -- Chapter 18. New Frontiers in Machine Learning Optimization -- Chapter 19. Adoption of AI and Livestock Management Strategies for Sustainable Food Security in the Face of Climate Change in Sub-Saharan Africa -- Chapter 20. The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence -- Compilation ofReferences -- About the Contributors -- Index.
Subject:	Machine learning. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7352-1
ISBN:	9798369373545

Optimization, machine learning, and fuzzy logic = theory, algorithms, and applications /
Optimization, machine learning, and fuzzy logictheory, algorithms, and applications /[electronic resource] :Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxi, 598 p.) :ill.

Includes bibliographic references and index.

Preface -- Chapter 1. Optimization, Machine Learning, and Fuzzy Logic: Machine Learning Fundamentals and Introduction to Machine Learning -- Chapter 2. Overview of Optimization Algorithms in Deep Learning -- Chapter 3. AI-Driven IoT(AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring: KSK1 Approach for BP Patient Healthcare Monitoring -- Chapter 4. Kidney Stone Detection Using Machine Learning Approaches -- Chapter 5. Advanced Fuzzy Logic forPredicting Hospital Readmissions in Diabetic Patients -- Chapter 6. Lung Cancer Detection Using Machine Learning -- Chapter 7. Fuzzy Soft Sets Meets Machine Learning: A New Era in Soil Quality Prediction and Management -- Chapter 8. An Improved YOLO Model for Kiwifruit Detection -- Chapter 9. Application of Metaheuristic Algorithms in the Availability-Centered Preventive Maintenance Optimization of Coal-Fired Power Plants -- Chapter 10. Electric Vehicle Energy Management Using Fuzzy Logics and Machine Learning -- Chapter 11. Enhancing Smart Grid Efficiency: The Role of IoT Blockchain and Fuzzy Set Theory -- Chapter 12. Waste Classification Using Improved Deep Learning Method -- Chapter 13. GA Optimization forPerformance and Emission Characteristics of SI Engine via Ethanol-Gasoline Blend -- Chapter 14. HFM-YOLO: A Novel Lightweight and High-Speed Object Detection Model -- Chapter 15. Lips Reading Using Deep Learning -- Chapter 16. Rich Text Extraction and Classification From PDF Documents Using Deep Learning Techniques -- Chapter 17. Utilising Machine Learning to Forecast Staff Attrition -- Chapter 18. New Frontiers in Machine Learning Optimization -- Chapter 19. Adoption of AI and Livestock Management Strategies for Sustainable Food Security in the Face of Climate Change in Sub-Saharan Africa -- Chapter 20. The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence -- Compilation ofReferences -- About the Contributors -- Index.

"This publication offers a comprehensive exploration of optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains"-- Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9798369373545Subjects--Topical Terms:

533906
Machine learning.
Subjects--Index Terms:

Algorithms.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: Q325.5 / .O66 2025eb

Dewey Class. No.: 519.6

Optimization, machine learning, and fuzzy logic = theory, algorithms, and applications /
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245 0 0 $a Optimization, machine learning, and fuzzy logic $h [electronic resource] : $b theory, algorithms, and applications / $c Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen, editors.
260 $a Hershey, Pennsylvania : $b IGI Global Scientific Publishing, $c 2025.
300 $a 1 online resource (xxi, 598 p.) : $b ill.
504 $a Includes bibliographic references and index.
505 0 $a Preface -- Chapter 1. Optimization, Machine Learning, and Fuzzy Logic: Machine Learning Fundamentals and Introduction to Machine Learning -- Chapter 2. Overview of Optimization Algorithms in Deep Learning -- Chapter 3. AI-Driven IoT(AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring: KSK1 Approach for BP Patient Healthcare Monitoring -- Chapter 4. Kidney Stone Detection Using Machine Learning Approaches -- Chapter 5. Advanced Fuzzy Logic forPredicting Hospital Readmissions in Diabetic Patients -- Chapter 6. Lung Cancer Detection Using Machine Learning -- Chapter 7. Fuzzy Soft Sets Meets Machine Learning: A New Era in Soil Quality Prediction and Management -- Chapter 8. An Improved YOLO Model for Kiwifruit Detection -- Chapter 9. Application of Metaheuristic Algorithms in the Availability-Centered Preventive Maintenance Optimization of Coal-Fired Power Plants -- Chapter 10. Electric Vehicle Energy Management Using Fuzzy Logics and Machine Learning -- Chapter 11. Enhancing Smart Grid Efficiency: The Role of IoT Blockchain and Fuzzy Set Theory -- Chapter 12. Waste Classification Using Improved Deep Learning Method -- Chapter 13. GA Optimization forPerformance and Emission Characteristics of SI Engine via Ethanol-Gasoline Blend -- Chapter 14. HFM-YOLO: A Novel Lightweight and High-Speed Object Detection Model -- Chapter 15. Lips Reading Using Deep Learning -- Chapter 16. Rich Text Extraction and Classification From PDF Documents Using Deep Learning Techniques -- Chapter 17. Utilising Machine Learning to Forecast Staff Attrition -- Chapter 18. New Frontiers in Machine Learning Optimization -- Chapter 19. Adoption of AI and Livestock Management Strategies for Sustainable Food Security in the Face of Climate Change in Sub-Saharan Africa -- Chapter 20. The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence -- Compilation ofReferences -- About the Contributors -- Index.
520 3 $a "This publication offers a comprehensive exploration of optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains"-- Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Machine learning. $3 533906
650 0 $a Mathematical optimization. $3 517763
650 0 $a Fuzzy mathematics. $3 582139
653 $a Algorithms.
653 $a Artificial Intelligence.
653 $a Computer Engineering.
653 $a Data Science.
653 $a Deep Learning.
653 $a Disease Detection.
653 $a Fuzzy Logic.
653 $a Machine Learning.
653 $a Medical Prediction.
653 $a Soil Quality Prediction.
653 $a Text Analysis.
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Shaheen, Momina, $d 1993- $3 3793612
700 1 $a Pamucar, Dragan, $d 1978- $3 3793613
700 1 $a Arya, Adarsh, $d 1979- $3 3793588
700 1 $a Mzili, Toufik, $d 1995- $3 3793587
710 2 $a IGI Global Scientific Publishing. $3 3793377
776 0 8 $i Print version: $z 9798369373521
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7352-1