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Machine Learning Disease Detection (62 results)
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Image-Based Plant Disease Detection: A Machine Learning Perspective
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208429013 ISBN 13: 9786208429010
Condition: New.
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Application of Machine Learning for Detection of Heart Disease
Language: English
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620674051X ISBN 13: 9786206740513
Condition: New.
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DETECTION OF AUTISM DISEASE USING MACHINE LEARNING ALGORITHMS | Autism Disease Detection
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6203025372 ISBN 13: 9786203025378
Taschenbuch. Condition: Neu. DETECTION OF AUTISM DISEASE USING MACHINE LEARNING ALGORITHMS | Autism Disease Detection | Nirmalakumari K (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203025378 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Image-Based Plant Disease Detection | A Machine Learning Perspective
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208429013 ISBN 13: 9786208429010
Taschenbuch. Condition: Neu. Image-Based Plant Disease Detection | A Machine Learning Perspective | Jayapriya Palanisamy | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208429010 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Application of Machine Learning for Detection of Heart Disease
Language: English
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620674051X ISBN 13: 9786206740513
Taschenbuch. Condition: Neu. Application of Machine Learning for Detection of Heart Disease | S. Ramacharan | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206740513 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Machine Learning based Analysis and Detection of Malaria Disease | Malaria Disease Detection
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202524308 ISBN 13: 9786202524308
Taschenbuch. Condition: Neu. Machine Learning based Analysis and Detection of Malaria Disease | Malaria Disease Detection | Samir Kumar Bandyopadhyay | Taschenbuch | 172 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202524308 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 542 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Machine Learning for Disease Detection, Prediction, and Diagnosis
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore Jun 2025, 2025
ISBN 10: 981964240X ISBN 13: 9789819642403
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -The book Machine Learning for Disease Detection, Prediction, and Diagnosis can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices. It provides an in-depth analysis of how these new technologies are helpful to detect, predict and diagnose diseases more accurately. The book covers various topics such as image classification algorithms, supervised learning methods like support vector machines (SVM), deep neural networks (DNNs), convolutional neural networks (CNNs), etc. unsupervised approaches such as clustering algorithms as well as reinforcement learning strategies.This book is an invaluable resource for anyone interested in machine-learning applications related to disease detection or diagnosis. It explains different concepts and provides practical examples of how they can it implements using real-world data sets from medical imaging datasets or public health records databases, among others. Furthermore, it offers insights into recent advances made by researchers which have enabled automated decision-making systems based on AI models with improved accuracy over traditional methods. This text also discusses ways through which current models could improve further by incorporating domain knowledge during the model training phase, thereby increasing their efficacy even further.Overall, this book serves as a great source of information about the latest advancements made in the field of Machine Learning & Artificial Intelligence towards efficient building systems capable enough detecting & diagnosing diseases automatically while avoiding human errors resulting due manual intervention at any stage along process pipeline thus ensuring better outcomes overall. Moreover, it helps readers understand the underlying principles behind each technique discussed so that they may apply them according to their own application scenarios efficiently without worrying much about the implementation details required to get the job done the right way the first time around itself! 404 pp. Englisch.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Disease Detection, Prediction, and Diagnosis
Language: English
Published by Springer Verlag GmbH, 2025
ISBN 10: 981964240X ISBN 13: 9789819642403
Condition: New.
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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 213.04
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Buch. Condition: Neu. Machine Learning for Disease Detection, Prediction, and Diagnosis | Challenges and Opportunities | Tanupriya Choudhury (u. a.) | Buch | xviii | Englisch | 2025 | Springer | EAN 9789819642403 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning for Disease Detection, Prediction, and Diagnosis : Challenges and Opportunities
Language: English
Published by Springer, Springer Jun 2025, 2025
ISBN 10: 981964240X ISBN 13: 9789819642403
Buch. Condition: Neu. Neuware - The book Machine Learning for Disease Detection, Prediction, and Diagnosis can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices. It provides an in-depth analysis of how these new technologies are helpful to detect, predict and diagnose diseases more accurately. The book covers various topics such as image classification algorithms, supervised learning methods like support vector machines (SVM), deep neural networks (DNNs), convolutional neural networks (CNNs), etc. unsupervised approaches such as clustering algorithms as well as reinforcement learning strategies.This book is an invaluable resource for anyone interested in machine-learning applications related to disease detection or diagnosis. It explains different concepts and provides practical examples of how they can it implements using real-world data sets from medical imaging datasets or public health records databases, among others. Furthermore, it offers insights into recent advances made by researchers which have enabled automated decision-making systems based on AI models with improved accuracy over traditional methods. This text also discusses ways through which current models could improve further by incorporating domain knowledge during the model training phase, thereby increasing their efficacy even further.Overall, this book serves as a great source of information about the latest advancements made in the field of Machine Learning & Artificial Intelligence towards efficient building systems capable enough detecting & diagnosing diseases automatically while avoiding human errors resulting due manual intervention at any stage along process pipeline thus ensuring better outcomes overall. Moreover, it helps readers understand the underlying principles behind each technique discussed so that they may apply them according to their own application scenarios efficiently without worrying much about the implementation details required to get the job done the right way the first time around itself!
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Add to basketHardcover. Condition: Brand New. 542 pages. In Stock.
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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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International EditionUS$ 251.14
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Add to basketCondition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032865482 ISBN 13: 9781032865485
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 257.25
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Buch. Condition: Neu. Neuware - Machine Learning for Medical Applications - Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics. With a focus on deep learning methods, the volume covers a wide spectrum of innovations including medical image segmentation, predictive modeling, tissue engineering, smart biomaterials, and personalized implant design through 3D printing. Contributors from academia and industry present state-of-the-art applications involving quantum dot functionalization, AI-enhanced diagnostic materials, and real-time image analysis. Each chapter provides both foundational knowledge and practical insight into how advanced algorithms can drive medical breakthroughs. Ideal for medical technologists, data scientists, biomedical engineers, and clinical practitioners, this volume emphasizes the role of machine learning in developing faster, smarter, and more accurate diagnostic tools for the next generation of personalized medicine.
