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Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications (International Series in Operations Research & Management Science, 336)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 148.08
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Deep Learning Applications in Operations Research
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning Applications in Operations Research
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Fine.
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Deep Learning Applications in Operations Research
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Deep Learning Applications in Operations Research
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Condition: As New. Unread book in perfect condition.
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Deep Learning Applications in Operations Research
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2026. 1st Edition. hardcover. . . . . .
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Deep Learning Applications in Operations Research
Language: English
Published by Taylor and Francis Ltd, GB, 2026
ISBN 10: 1032709189 ISBN 13: 9781032709185
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains. By exploring innovative approaches and emerging trends in advanced intelligent applications, the book examines how innovation and emerging technologies can be leveraged to drive intelligent solutions across diverse domains. It covers such key areas as follows:A comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applicationsAn updated approach to the critical path method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environmentsA bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data- driven insights into industry developmentsAn examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiencyDevelopment of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approachesIntroduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authenticationAnalysis of deep learning-driven mHealth applications in India's healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibilityExploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning modelsProviding a wide-ranging overview of the field, the book helps researchers navigate the rapidly evolving landscape of advanced intelligent applications. It demonstrates the transformative impact of deep learning on operations research by offering practical insights and establishing a foundation for future innovations.
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Deep Learning Applications in Operations Research
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 204.94
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Deep Learning Applications in Operations Research
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 209.67
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Deep Learning Applications in Operations Research
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Condition: New.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Condition: New.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 235.13
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Language: English
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Condition: New.
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Condition: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Deep Learning Applications in Operations Research
Language: English
Published by Taylor and Francis Ltd, GB, 2026
ISBN 10: 1032709189 ISBN 13: 9781032709185
Hardback. Condition: New. Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains. By exploring innovative approaches and emerging trends in advanced intelligent applications, the book examines how innovation and emerging technologies can be leveraged to drive intelligent solutions across diverse domains. It covers such key areas as follows:A comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applicationsAn updated approach to the critical path method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environmentsA bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data- driven insights into industry developmentsAn examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiencyDevelopment of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approachesIntroduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authenticationAnalysis of deep learning-driven mHealth applications in India's healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibilityExploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning modelsProviding a wide-ranging overview of the field, the book helps researchers navigate the rapidly evolving landscape of advanced intelligent applications. It demonstrates the transformative impact of deep learning on operations research by offering practical insights and establishing a foundation for future innovations.
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Hardcover. Condition: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
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Hardcover. Condition: Brand New. 320 pages. 10.00x7.00x10.00 inches. In Stock.
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Deep Learning Applications in Operations Research (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032725451 ISBN 13: 9781032725451
Paperback. Condition: new. Paperback. The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies. The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning Applications in Operations Research (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032725451 ISBN 13: 9781032725451
Paperback. Condition: new. Paperback. The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies. The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
