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Condition: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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Knowledge Engineering for Modern Information Systems - Anand Sharma - HBK New
Seller: Devils in the Detail Ltd, Oxford, United Kingdom
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Add to basketCondition: New. Picture Shown is For Illustration Purposes Only, Please See Below For Further DetailsCONDITION ? NEW.
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Knowledge Engineering for Modern Information Systems: Methods, Models and Tools (Smart Computing Applications, 3)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 116.64
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Knowledge Engineering for Modern Information Systems : Methods, Models and Tools
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Knowledge Engineering for Modern Information Systems : Methods, Models and Tools
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 132.67
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Knowledge Engineering for Modern Information Systems: Methods, Models and Tools
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£ 147.89
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Add to basketCondition: New. 2022. Hardcover. . . . . .
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£ 155.52
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£ 71.45
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Swarm Optimization for Biomedical Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
Language: English
Hardcover. Condition: new. Hardcover. Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering. With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Swarm Optimization for Biomedical Applications
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Swarm Optimization for Biomedical Applications
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 160.21
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 762.
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Swarm Optimization for Biomedical Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
Language: English
£ 153.14
Convert currency£ 27.29 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering. With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Hardback. Condition: New. Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.
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£ 143.11
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Add to basketGebunden. Condition: New. S. Kautish, LBEF P. Agrawal, Univ. of Klagenfurt V. Madaan, LPU C. Gupta, Bhagwan Inst. of Techn. S. Nanda.
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Condition: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
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£ 180.33
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£ 174.47
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Add to basketHardcover. Condition: Brand New. 260 pages. 6.69x9.44x0.79 inches. In Stock.
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Swarm Optimization for Biomedical Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
Language: English
£ 175.99
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering. With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 206.91
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Add to basketHardcover. Condition: Brand New. 326 pages. 9.18x6.12x9.21 inches. In Stock.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Knowledge Engineering for Modern Information Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 122.01
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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£ 247.15
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters.
