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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Automated Sugarcane Leaf Disease Detection Using AI Models | Comparative Analysis of Machine Learning and Deep Learning Models for Sugarcane Health | Kevin Sitati | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209544873 | 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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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 384 pages. 9.18x6.12x9.21 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1032392924 ISBN 13: 9781032392929
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and recurrent neural networksDiscusses applications of DL such as hyperparameter optimization and multimodal DL for bioinformaticsShowcases how algorithms are applied to a broad range of application areas, including microscopy and pathologyCovers DL techniques such as deep feedforward networks, sequence modeling, and convolutional networksExamines the importance of deep learning in biomedical image processing and enhancing biological diagnosisIt will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learning-based clinical computer-aided diagnosis systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1032392924 ISBN 13: 9781032392929
Da: CitiRetail, Stevenage, Regno Unito
EUR 154,85
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and recurrent neural networksDiscusses applications of DL such as hyperparameter optimization and multimodal DL for bioinformaticsShowcases how algorithms are applied to a broad range of application areas, including microscopy and pathologyCovers DL techniques such as deep feedforward networks, sequence modeling, and convolutional networksExamines the importance of deep learning in biomedical image processing and enhancing biological diagnosisIt will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learning-based clinical computer-aided diagnosis systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloHRD. Condizione: 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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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 219,20
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. T. Ananth Kumar works as Research Head and Associate Professor in Computer Science and Engineering, IFET college of Engineering (Autonomous), India. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli, India. H.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Deep Learning Models towards Health Informatics Management | Foundations, Challenges and Opportunities | T. Ananth Kumar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781032392929 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1032392924 ISBN 13: 9781032392929
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 309,85
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and recurrent neural networksDiscusses applications of DL such as hyperparameter optimization and multimodal DL for bioinformaticsShowcases how algorithms are applied to a broad range of application areas, including microscopy and pathologyCovers DL techniques such as deep feedforward networks, sequence modeling, and convolutional networksExamines the importance of deep learning in biomedical image processing and enhancing biological diagnosisIt will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology. This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learning-based clinical computer-aided diagnosis systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 285,38
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.