Da: Books From California, Simi Valley, CA, U.S.A.
EUR 44,31
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Aggiungi al carrellopaperback. Condizione: Good. Clean, unmarked copy.
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 62,52
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Books Puddle, New York, NY, U.S.A.
EUR 61,42
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Aggiungi al carrelloCondizione: New. First edition Includes bibliographical references and index.
Da: Majestic Books, Hounslow, Regno Unito
EUR 58,88
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 64,21
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 490.
EUR 66,64
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 66,63
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 410.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 65,58
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Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 74,86
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Aggiungi al carrelloPaperback. Condizione: New. Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence.The wide variety of topics covered include:Artificial Intelligence in healthcareMachine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19Big data analytics solutions for healthcare data processingReliable biomedical applications using AI modelsIntelligent IoT in healthcareThe book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.
EUR 51,74
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 60,77
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Da: Majestic Books, Hounslow, Regno Unito
EUR 68,20
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 68,27
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 500.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 68,94
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Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Da: Rarewaves.com UK, London, Regno Unito
EUR 77,14
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Aggiungi al carrelloPaperback. Condizione: New. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 69,72
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Da: Best Price, Torrance, CA, U.S.A.
EUR 55,21
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EUR 73,73
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Aggiungi al carrelloCondizione: New. pages cm First edition Includes bibliographical references and index.
Da: moluna, Greven, Germania
EUR 71,12
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Aggiungi al carrelloCondizione: New. Dr. Madhusudhan H S is an associate professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysuru, India.Dr. Punit Gupta is an associate professor in the department of Computer and Co.
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 80,97
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Aggiungi al carrelloPaperback. Condizione: New. Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence.The wide variety of topics covered include:Artificial Intelligence in healthcareMachine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19Big data analytics solutions for healthcare data processingReliable biomedical applications using AI modelsIntelligent IoT in healthcareThe book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.
Da: Majestic Books, Hounslow, Regno Unito
EUR 73,97
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 74,32
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days. 460.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 67,48
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Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 83,36
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Aggiungi al carrelloPaperback. Condizione: New. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 68,44
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 53,77
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence.The wide variety of topics covered include:Artificial Intelligence in healthcareMachine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19Big data analytics solutions for healthcare data processingReliable biomedical applications using AI modelsIntelligent IoT in healthcareThe book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain. Focuses on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 75,19
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 69,45
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