Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 44,85
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Añadir al carritopaperback. Condición: Good. Clean, unmarked copy.
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
EUR 51,32
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Añadir al carritoCondición: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 60,71
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 64,31
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 63,19
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Añadir al carritoCondición: New. First edition Includes bibliographical references and index.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 59,61
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Añadir al carritoCondición: New. pages cm.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,07
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 67,65
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 63,43
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 70,46
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 70,50
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 62,66
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Añadir al carritoCondición: New. In.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 69,03
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 73,78
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Añadir al carritoCondición: New. pages cm First edition Includes bibliographical references and index.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 75,13
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Añadir al carritoCondición: New.
Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032559969 ISBN 13: 9781032559964
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 77,49
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem.Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include:Improving QoS and resource efficiencyFault-tolerant and reliable resource optimization modelsA reactive fault tolerance method using checkpointing restartCost and network-aware metaheuristics.Virtual machine scheduling and placementElectricity consumption in cloud data centersWritten by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services. The book examines virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of the cloud data center. The book also focuses on basic design principles and analysis of virtual machine placement techniques and tasks allocation techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 64,41
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,70
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,87
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 80,27
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Añadir al carritoPaperback. Condición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 68,69
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pages cm.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 74,88
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 82,65
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 63,49
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 490.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 68,95
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Añadir al carritoCondición: New. In.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 65,90
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 410.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 81,91
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 85,63
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 67,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 54,04
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.