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Efficient Data Handling for Massive Internet of Medical Things, Chakraborty


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Цена: 19564.00р.
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Автор: Chakraborty
Название:  Efficient Data Handling for Massive Internet of Medical Things
ISBN: 9783030666354
Издательство: Springer
Классификация:




ISBN-10: 3030666352
Обложка/Формат: Soft cover
Страницы: 388
Вес: 0.62 кг.
Дата издания: 17.09.2022
Серия: Internet of Things
Язык: English
Иллюстрации: XIV, 388 p. 100 illus.
Читательская аудитория: Science
Основная тема: Engineering
Подзаголовок: Healthcare Data Analytics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.
Дополнительное описание: Chapter 1. An Overview of the Internet of Medical Things and its Modern Perspective.- Chapter 2. Big medical data analytics under Internet of Things.- Chapter 3. Big Medical Data Analytics using Sensor Technology.- Chapter 4. Smart Healthcare Technologies



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: 16078.00 р.
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.

Massive IoT Access for 6G

Автор: Zhen Gao
Название: Massive IoT Access for 6G
ISBN: 9811927030 ISBN-13(EAN): 9789811927034
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The Internet-of-Things (IoT) revolution has triggered the need of massive connectivity for billions of devices requiring a system capacity which is far beyond the current network designs that can be supported.

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
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Цена: 19906.00 р.
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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.

Analog VLSI Integration of Massive Parallel Signal Processing Systems

Автор: Peter Kinget; Michiel Steyaert
Название: Analog VLSI Integration of Massive Parallel Signal Processing Systems
ISBN: 1441951687 ISBN-13(EAN): 9781441951687
Издательство: Springer
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Цена: 32004.00 р.
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Описание: Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks.

Hybrid Massive MIMO Precoding in Cloud-RAN

Автор: Tho Le-Ngoc; Ruikai Mai
Название: Hybrid Massive MIMO Precoding in Cloud-RAN
ISBN: 3030021572 ISBN-13(EAN): 9783030021573
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as millimeter-wave wireless backhauling, fully-loaded cellular networks are of interest. The suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture are also discussed.Novel techniques are examined for RF precoding optimization in combination with nonlinear precoding at baseband, and the superiority of joint RF-baseband design is verified. Moreover, the efficacy of hybrid RF-baseband precoding to combat intercell interference in a multi-cell environment with universal frequency reuse is investigated, which is concluded to be a promising enabler for the dense deployment of base stations. This book mainly targets researchers and engineers interested in the challenges, optimization, and implementation of massive MIMO precoding in 5G Cloud RAN. Graduate students in electrical engineering and computer science interested in the application of mathematical optimization to model and solve precoding problems in massive MIMO cellular systems will also be interested in this book.

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
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Цена: 27950.00 р.
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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.

Non-Orthogonal Multiple Access for Massive Connectivity

Автор: Yuanwei Liu; Zhijin Qin; Zhiguo Ding
Название: Non-Orthogonal Multiple Access for Massive Connectivity
ISBN: 3030309746 ISBN-13(EAN): 9783030309749
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book discusses non-orthogonal multiple access (NOMA) and the various issues in NOMA networks, including capability, sustainability, and security. This book starts from the basics and key techniques of NOMA. Subsequently, the authors discuss three critical issues in NOMA networks, including compatibility, sustainability, and security. Particularly, the authors first demonstrate the applications of NOMA in different networks including MIMO-NOMA, NOMA in heterogeneous networks, and NOMA in cognitive radio networks to show the compatibility of NOMA with various networks. Then the wireless powered NOMA networks are presented to address the sustainability issues in NOMA networks to extend the network reliability and lifetime. The security enhanced NOMA networks are discussed for single antenna case and multiple antenna case, respectively. Finally, the most recent developments on artificial intelligence (AI) enabled NOMA networks are discussed and the research challenges on NOMA to support massive number of devices are identified.

Massive IoT Access for 6G

Автор: Gao
Название: Massive IoT Access for 6G
ISBN: 9811927065 ISBN-13(EAN): 9789811927065
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The Internet-of-Things (IoT) revolution has triggered the need of massive connectivity for billions of devices requiring a system capacity which is far beyond the current network designs that can be supported. This emerging requirement has reshaped the society and industry in pursuing efficient communication paradigm. In particular, massive machine-type communications (mMTC) will be a prime driver for enabling the vision of scalable IoT with heterogeneous applications, where the massive access is of paramount importance. This book discusses important massive IoT scenarios and the key technical requirements of the corresponding massive access. We review the state-of-the-art IoT standards and mMTC solutions, and summarize the limitations of the existing schemes from the perspectives of the network architecture, random access procedure, and multiple access techniques. Here, we specify the massive access challenges and reveal that the facilitation of MTC invokes a dramatically different access scheme from current ones mainly designed for human-centric communications. Moreover, we propose several promising massive access solutions to overcome the limitations, where sufficient theoretical model and algorithm design guidance are provided. Besides, detailed simulation and engineering implementation methods are also included.

mmWave Massive MIMO Vehicular Communications

Автор: Cheng
Название: mmWave Massive MIMO Vehicular Communications
ISBN: 303097507X ISBN-13(EAN): 9783030975074
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: This book proposes promising mmWave solutions to promoting safe and reliable vehicular communications. The authors include topics such as channel estimation, multi-user transceiver design, and advanced index modulation. For channel estimation, unique channel properties and hybrid structures are first introduced, followed by the development of a doubly-sparse doubly-selective channel estimator. For multi-user transceiver design, the concept of hybrid block diagonalization (HBD) is first introduced, followed by a generic HBD-based transceiver design to maximize the system capacity. For advanced index modulation, the generalized beamspace modulation for uplink multi-user scenarios are first introduced, followed by the precoded beamspace modulation for the downlink. Finally, this book discusses open problems and future research directions to inspire further studies in the field of mmWave vehicular communications.

Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics

Автор: Chakraborty Chinmay, Ghosh Uttam, Ravi Vinayakumar
Название: Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics
ISBN: 3030666328 ISBN-13(EAN): 9783030666323
Издательство: Springer
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.

Massive WDM and TDM Soliton Transmission Systems

Автор: Akira Hasegawa
Название: Massive WDM and TDM Soliton Transmission Systems
ISBN: 1402003617 ISBN-13(EAN): 9781402003615
Издательство: Springer
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Цена: 25155.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A ROSC Symposium

Massive MIMO detection algorithm and VLSI architecture.

Автор: Leibo Liu, Guiqiang Peng
Название: Massive MIMO detection algorithm and VLSI architecture.
ISBN: 9811363617 ISBN-13(EAN): 9789811363610
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces readers to a reconfigurable chip architecture for future wireless communication systems, such as 5G and beyond. The proposed architecture perfectly meets the demands for future mobile communication solutions to support different standards, algorithms, and antenna sizes, and to accommodate the evolution of standards and algorithms. It employs massive MIMO detection algorithms, which combine the advantages of low complexity and high parallelism, and can fully meet the requirements for detection accuracy. Further, the architecture is implemented using ASIC, which offers high energy efficiency, high area efficiency and low detection error.After introducing massive MIMO detection algorithms and circuit architectures, the book describes the ASIC implementation for verifying the massive MIMO detection. In turn, it provides detailed information on the proposed reconfigurable architecture: the data path and configuration path for massive MIMO detection algorithms, including the processing unit, interconnections, storage mechanism, configuration information format, and configuration method.


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