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Machine Learning for Critical Internet of Medical Things, Al-Turjman


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Цена: 149060.00T
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Автор: Al-Turjman
Название:  Machine Learning for Critical Internet of Medical Things
ISBN: 9783030809300
Издательство: Springer
Классификация:





ISBN-10: 3030809307
Обложка/Формат: Soft cover
Страницы: 261
Вес: 0.42 кг.
Дата издания: 18.02.2023
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 79 illustrations, color; 10 illustrations, black and white; x, 261 p. 89 illus., 79 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Applications and use cases
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. * Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; * Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; * Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
Дополнительное описание: Introduction.- An Introduction to Basic Concepts on Machine Learning, its architecture and framework.- Machine Learning Models and techniques.- Diseases diagnosis and prediction using Machine Learning.- Machine learning for Mobile/e-health, Tele-medical a


Cognitive computing for Internet of Medical Things /

Автор: A Prasanth, Lakshmi D, Rajesh Kumar Dhan
Название: Cognitive computing for Internet of Medical Things /
ISBN: 1032187883 ISBN-13(EAN): 9781032187884
Издательство: Taylor&Francis
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Цена: 107190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.

Practical Artificial Intelligence for Internet of Medical Things

Автор: Ratten, Vanessa (La Trobe University, Australia)
Название: Practical Artificial Intelligence for Internet of Medical Things
ISBN: 1032325275 ISBN-13(EAN): 9781032325279
Издательство: Taylor&Francis
Рейтинг:
Цена: 132710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Machine Learning for Critical Internet of Medical Things: Applications and Use Cases

Автор: Al-Turjman Fadi, Nayyar Anand
Название: Machine Learning for Critical Internet of Medical Things: Applications and Use Cases
ISBN: 3030809277 ISBN-13(EAN): 9783030809270
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. * Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; * Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; * Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Machine Learning and the Internet of Medical Things in Healthcare

Автор: Singh Krishna Kant, Elhoseny Mohamed, Singh Akansha
Название: Machine Learning and the Internet of Medical Things in Healthcare
ISBN: 0128212292 ISBN-13(EAN): 9780128212295
Издательство: Elsevier Science
Рейтинг:
Цена: 174050.00 T
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Описание:

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide.

The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.


Cognitive Internet of Medical Things for Smart Healthcare

Автор: Aboul Ella Hassanien
Название: Cognitive Internet of Medical Things for Smart Healthcare
ISBN: 3030558320 ISBN-13(EAN): 9783030558321
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

Cellular Internet of Things

Автор: Liberg Olof
Название: Cellular Internet of Things
ISBN: 0081029020 ISBN-13(EAN): 9780081029022
Издательство: Elsevier Science
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Цена: 99880.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Cellular Internet of Things: From Massive Deployments to Critical 5G Applications, Second Edition, gives insights into the recent and rapid work performed by the 3rd Generation Partnership Project (3GPP) and the Multefire Alliance (MFA) to develop systems for the Cellular IoT. Beyond the technologies, readers will learn what the mMTC and cMTC market segments look like, deployment options and expected performance in terms of system capacity, expected battery lifetime, data throughput, access delay time and device cost, regulations for operation in unlicensed frequency bands, and how they impact system design and performance.

This new edition contains updated content on the latest EC-GSM IoT, LTE-M and NB-IoT features in 3GPP Release 15, critical communication, i.e. URLLC, specified in 3GPP Release 15 for both LTE and NR, LTE-M and NB-IoT for unlicensed frequency bands specified in the Multefire Alliance (MFA), and an updated outlook of what the future holds in Industrial IoT and drone communications, amongst other topics.

  • Provides ubiquitous wireless connectivity for a diverse range of services and applications, describing their performance and how their specifications were developed to meet the most demanding requirements
  • Describes licensed and unlicensed technologies based on 2G, 4G and 5G technologies and how they have evolved towards the Cellular IoT
  • Presents the Narrowband Internet of Things technology and how GSM, LTE and NR have been designed to provide Cellular Internet of Things services
  • Provides use cases that cover ultra-low complex systems connecting billions of devices (massive MTC, mMTC), critical MTC and cMTC based on Ultra-Reliable and Low Latency Communications (URLLC) to meet strict latency and reliability requirements

Intelligent Cyber Physical Systems and Internet of Things

Автор: Hemanth
Название: Intelligent Cyber Physical Systems and Internet of Things
ISBN: 3031184963 ISBN-13(EAN): 9783031184963
Издательство: Springer
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Цена: 214280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the potential research areas of Information and Communication Technologies (ICT), such as the research in the field of modern computing and communication technologies that deal with different aspects of data analysis and network connectivity to develop solution for the emerging real-time information system challenges; contains a brief discussion about the progression from information systems to intelligent information systems, development of autonomous systems, real-time implementation of Internet of Things (IoT) and Cyber Physical Systems (CPS), fundamentals of intelligent information systems and analytical activities; helps to gain a significant research knowledge on modern communication technologies from the novel research contributions dealing with different aspects of communication systems, which showcase effective technological solutions that can be used for the implementation of novel distributed wireless communication systems. The individual chapters included in this book will provide a valuable resource for the researchers, scientists, scholars, and research enthusiasts, who have more interest in Information and Communication Technologies (ICT). Encompassing the contributions of professors and researchers from Indian and other foreign universities, this book will be of interest to students, researchers, and practitioners, as well as members of the general public interested in the realm of Internet of Things (IoT) and Cyber Physical Systems (CPS).

From Machine-to-Machine to the Internet of Things: Introduction t

Автор: Jan Holler
Название: From Machine-to-Machine to the Internet of Things: Introduction t
ISBN: 012407684X ISBN-13(EAN): 9780124076846
Издательство: Elsevier Science
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Цена: 77470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book outlines the background and overall vision for the Internet of Things (IoT) and Machine-to-Machine (M2M) communications and services, including major standards. Key technologies are described, and include everything from physical instrumentation of devices to the cloud infrastructures used to collect data. Also included is how to derive information and knowledge, and how to integrate it into enterprise processes, as well as system architectures and regulatory requirements. Real-world service use case studies provide the hands-on knowledge needed to successfully develop and implement M2M and IoT technologies sustainably and profitably. Finally, the future vision for M2M technologies is described, including prospective changes in relevant standards. This book is written by experts in the technology and business aspects of Machine-to-Machine and Internet of Things, and who have experience in implementing solutions.

Medical big data and internet of medical things

Название: Medical big data and internet of medical things
ISBN: 1138492477 ISBN-13(EAN): 9781138492479
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses recent advances in data mining, learning, and analysis of big volume medical images resulting at a high rate from both real time systems and off line systems. The book includes privacy, trust, and security issues related to medical Big Data and related IoT and presents case studies in healthcare analytics as well.

Internet of things and personalized healthcare systems

Автор: Gurumoorthy, Sasikumar Krishna, P. Venkata Obaidat, Mohammad S.
Название: Internet of things and personalized healthcare systems
ISBN: 9811308659 ISBN-13(EAN): 9789811308659
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.

Computational Intelligence in the Internet of Things

Автор: Purnomo Hindriyanto Dwi
Название: Computational Intelligence in the Internet of Things
ISBN: 1522579559 ISBN-13(EAN): 9781522579557
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 188100.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Sensor Analysis for the Internet of Things

Автор: Michael Stanley, Jongmin Lee
Название: Sensor Analysis for the Internet of Things
ISBN: 1681732890 ISBN-13(EAN): 9781681732893
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.


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