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Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202802081 ISBN 13: 9786202802086
Sprache: Englisch
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Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202802081 ISBN 13: 9786202802086
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Verlag: Satish Serial Publishing House, 2024
ISBN 10: 9395700629 ISBN 13: 9789395700627
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: New. ISBN:9789395700627.
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In den Warenkorbpaperback. Zustand: Good. Clean, unmarked copy.
Verlag: Satish Serial Publishing House, 2022
ISBN 10: 9394023380 ISBN 13: 9789394023383
Sprache: Englisch
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Verlag: Edicoes Nosso Conhecimento, 2021
ISBN 10: 6202710241 ISBN 13: 9786202710244
Sprache: Portugiesisch
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Verlag: Edicoes Nosso Conhecimento, 2021
ISBN 10: 6202710241 ISBN 13: 9786202710244
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Verlag: Satish Serial Publishing House, 2022
ISBN 10: 9394023380 ISBN 13: 9789394023383
Sprache: Englisch
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In den WarenkorbZustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Verlag: Edicoes Nosso Conhecimento, 2021
ISBN 10: 6202710241 ISBN 13: 9786202710244
Sprache: Portugiesisch
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Verlag: Edicoes Nosso Conhecimento, 2021
ISBN 10: 6202710241 ISBN 13: 9786202710244
Sprache: Portugiesisch
Anbieter: California Books, Miami, FL, USA
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Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202802081 ISBN 13: 9786202802086
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Verlag: Satish Serial Publishing House, 2022
ISBN 10: 9394023380 ISBN 13: 9789394023383
Sprache: Englisch
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EUR 32,64
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Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138348060 ISBN 13: 9786138348061
Sprache: Englisch
Anbieter: Books Puddle, New York, NY, USA
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In den Warenkorbpaperback. Zustand: Fine.
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In den WarenkorbZustand: New. In.
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
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In den WarenkorbZustand: 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.
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139820111 ISBN 13: 9786139820115
Sprache: Englisch
Anbieter: Books Puddle, New York, NY, USA
EUR 57,47
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Verlag: Satish Serial Publishing House, 2022
ISBN 10: 9394023380 ISBN 13: 9789394023383
Sprache: Englisch
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 34,46
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Verlag: LAP Lambert Academic Publishing, 2020
ISBN 10: 6200506736 ISBN 13: 9786200506733
Sprache: Englisch
Anbieter: Books Puddle, New York, NY, USA
EUR 59,75
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Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202802081 ISBN 13: 9786202802086
Sprache: Englisch
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EUR 60,42
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In den WarenkorbZustand: New.
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032345225 ISBN 13: 9781032345222
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
EUR 67,20
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In den WarenkorbPaperback. Zustand: 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 multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 59,49
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In den WarenkorbZustand: New. pages cm.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 68,62
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In den WarenkorbZustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 63,30
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In den WarenkorbZustand: New.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 70,31
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
EUR 73,53
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In den WarenkorbPaperback. Zustand: new. Paperback. Machine Learning and Models for Optimization in Clouds main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud.Key Features Comprehensive introduction to cloud architecture and its service models. Vulnerability and issues in cloud SAAS, PAAS and IAAS Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models Detailed study of optimization techniques, and fault management techniques in multi layered cloud. Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. Advanced study of algorithms using artificial intelligence for optimization in cloud Method for power efficient virtual machine placement using neural network in cloud Method for task scheduling using metaheuristic algorithms. A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment.This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. Cloud computing has been a new trend in problem-solving and providing reliable computing platform for big and high computational tasks. This technique is used for business industries like banking, trading and many e-commerce businesses to accommodate high request rate, high availability for all time without stopping system and system failure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 65,85
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In den WarenkorbZustand: New.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032345896 ISBN 13: 9781032345895
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
EUR 73,96
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: new. Paperback. A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems?Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how:The existing fog and edge architecture is used to provide solutions to future challenges.A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare.An optimization framework helps in cloud resource management.Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production.Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers.The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients. The book examines the enhancement of the performance of fog networks for real-world applications using nature-based optimization techniques. It looks at the challenges in cloud datacenter nodes and fog computing networks and provides solutions. It covers such issues as security, privacy, and power consumption. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.