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Data Modelling and Analytics for the Internet of Medical Things, Edited By Rajiv Pandey, Pratibha Maurya, Raymond C


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Цена: 20671.00р.
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При оформлении заказа до: 2025-09-29
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Автор: Edited By Rajiv Pandey, Pratibha Maurya, Raymond C
Название:  Data Modelling and Analytics for the Internet of Medical Things
ISBN: 9781032414232
Издательство: Taylor&Francis
Классификация:









ISBN-10: 1032414235
Обложка/Формат: Hardback
Страницы: 306
Вес: 0.77 кг.
Дата издания: 22.12.2023
Иллюстрации: 45 tables, black and white; 117 line drawings, black and white; 22 halftones, black and white; 139 illustrations, black and white
Размер: 234 x 156
Ссылка на Издательство: Link
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Поставляется из: Европейский союз


Understanding data analytics and predictive modelling in the oil and gas industry

Автор: Kingshuk Srivastava, Thipendra P Singh, Manas Ranjan Pradhan, Vinit Kumar Gunjan
Название: Understanding data analytics and predictive modelling in the oil and gas industry
ISBN: 1032413875 ISBN-13(EAN): 9781032413877
Издательство: Taylor&Francis
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Цена: 15312.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies.Features:Provides an understanding of the basics of IT technologies applied in the oil and gas sectorIncludes deep comparison between different artificial intelligence techniquesAnalyzes different simulators in the oil and gas sector as well as discussion of AI applicationsFocuses on in-depth experimental and applied topicsDetails different case studies for upstream and downstreamThis book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

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.
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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
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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.

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.

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.
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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.

Efficient Data Handling for Massive Internet of Medical Things

Автор: Chakraborty
Название: Efficient Data Handling for Massive Internet of Medical Things
ISBN: 3030666352 ISBN-13(EAN): 9783030666354
Издательство: Springer
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Цена: 19564.00 р.
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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.

Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications

Автор: Hassanien, Aboul ; Dey, Nilanjan ; Borra, Surekha
Название: Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications
ISBN: 1032653299 ISBN-13(EAN): 9781032653297
Издательство: Taylor&Francis
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Цена: 7654.00 р.
Наличие на складе: Нет в наличии.

The Internet of Medical Things (Iomt): Healthcare Transformation

Автор: Hemalatha R. J., Akila D., Balaganesh D.
Название: The Internet of Medical Things (Iomt): Healthcare Transformation
ISBN: 1119768837 ISBN-13(EAN): 9781119768838
Издательство: Wiley
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Цена: 29771.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A comprehensive survey of the quickly developing discipline of cognitive linguistics, its rich methodology, key results, and interdisciplinary context. Providing an accessible overview of research questions, basic concepts, and various theoretical approaches, the Handbook places linguistic facts in the context of gesture studies, neuroscience, computational approaches, and many other fields.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Автор: Nilanjan Dey; Aboul Ella Hassanien; Chintan Bhatt;
Название: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
ISBN: 3319868640 ISBN-13(EAN): 9783319868646
Издательство: Springer
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Цена: 21661.00 р.
Наличие на складе: Нет в наличии.

Описание: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.  Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer.  Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. 

Internet of Things and Big Data Analytics for Smart Generation

Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve
Название: Internet of Things and Big Data Analytics for Smart Generation
ISBN: 3030042022 ISBN-13(EAN): 9783030042028
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur

Автор: Wilkins Neil
Название: Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur
ISBN: 1647481341 ISBN-13(EAN): 9781647481346
Издательство: Неизвестно
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Цена: 4137.00 р.
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Internet of Things and Analytics for Agriculture, Volume 3

Автор: Pattnaik Prasant Kumar, Kumar Raghvendra, Pal Souvik
Название: Internet of Things and Analytics for Agriculture, Volume 3
ISBN: 9811662096 ISBN-13(EAN): 9789811662096
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.


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