Edge Of Things In Personalized Healthcare Support Systems

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Edge-of-Things in Personalized Healthcare Support Systems

Author : Rajeswari Sridhar
Publisher : Academic Press
ISBN 13 : 0323907083
Total Pages : 437 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Edge-of-Things in Personalized Healthcare Support Systems by : Rajeswari Sridhar

Download or read book Edge-of-Things in Personalized Healthcare Support Systems written by Rajeswari Sridhar and published by Academic Press. This book was released on 2022-06-19 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics. Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics

Intelligent Systems Design and Applications

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3031355016
Total Pages : 602 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2023-07-04 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

IoT in Healthcare and Ambient Assisted Living

Author : Gonçalo Marques
Publisher : Springer Nature
ISBN 13 : 9811598975
Total Pages : 375 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis IoT in Healthcare and Ambient Assisted Living by : Gonçalo Marques

Download or read book IoT in Healthcare and Ambient Assisted Living written by Gonçalo Marques and published by Springer Nature. This book was released on 2021-01-04 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

Machine Learning for Edge Computing

Author : Amitoj Singh
Publisher : CRC Press
ISBN 13 : 1000609235
Total Pages : 200 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning for Edge Computing by : Amitoj Singh

Download or read book Machine Learning for Edge Computing written by Amitoj Singh and published by CRC Press. This book was released on 2022-07-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases

Author :
Publisher : Academic Press
ISBN 13 : 0128187573
Total Pages : 384 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases by :

Download or read book The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases written by and published by Academic Press. This book was released on 2020-01-28 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. Provides in-depth descriptions of digital transformation technologies and tools Covers various research accomplishments in this flourishing field of relevance Includes many detailed industry use cases with all the right information

Deep Learning in Personalized Healthcare and Decision Support

Author : Harish Garg
Publisher : Elsevier
ISBN 13 : 0443194149
Total Pages : 402 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Deep Learning in Personalized Healthcare and Decision Support by : Harish Garg

Download or read book Deep Learning in Personalized Healthcare and Decision Support written by Harish Garg and published by Elsevier. This book was released on 2023-07-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Artificial Intelligence for Cloud and Edge Computing

Author : Sanjay Misra
Publisher : Springer Nature
ISBN 13 : 3030808211
Total Pages : 358 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence for Cloud and Edge Computing by : Sanjay Misra

Download or read book Artificial Intelligence for Cloud and Edge Computing written by Sanjay Misra and published by Springer Nature. This book was released on 2022-01-13 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

5G IoT and Edge Computing for Smart Healthcare

Author : Akash Kumar Bhoi
Publisher : Academic Press
ISBN 13 : 0323906648
Total Pages : 326 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis 5G IoT and Edge Computing for Smart Healthcare by : Akash Kumar Bhoi

Download or read book 5G IoT and Edge Computing for Smart Healthcare written by Akash Kumar Bhoi and published by Academic Press. This book was released on 2022-03-29 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system

Machine Learning for Healthcare Applications

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119791812
Total Pages : 418 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning for Healthcare Applications by : Sachi Nandan Mohanty

Download or read book Machine Learning for Healthcare Applications written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

Internet of Things Use Cases for the Healthcare Industry

Author : Pethuru Raj
Publisher : Springer Nature
ISBN 13 : 3030375269
Total Pages : 303 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Internet of Things Use Cases for the Healthcare Industry by : Pethuru Raj

Download or read book Internet of Things Use Cases for the Healthcare Industry written by Pethuru Raj and published by Springer Nature. This book was released on 2020-03-31 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models.

Advances on Smart and Soft Computing

Author : Faisal Saeed
Publisher : Springer Nature
ISBN 13 : 981156048X
Total Pages : 657 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances on Smart and Soft Computing by : Faisal Saeed

Download or read book Advances on Smart and Soft Computing written by Faisal Saeed and published by Springer Nature. This book was released on 2020-10-19 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020), held in Casablanca, Morocco, on April 12–13, 2020. It covers a range of topics, including artificial intelligence technologies and applications, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.

Proceedings of Trends in Electronics and Health Informatics

Author : M. Shamim Kaiser
Publisher : Springer Nature
ISBN 13 : 9811688265
Total Pages : 666 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Trends in Electronics and Health Informatics by : M. Shamim Kaiser

Download or read book Proceedings of Trends in Electronics and Health Informatics written by M. Shamim Kaiser and published by Springer Nature. This book was released on 2022-03-21 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2021), organized by Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India, during 16–17 December 2021. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.

Advances in Automation, Signal Processing, Instrumentation, and Control

Author : Venkata Lakshmi Narayana Komanapalli
Publisher : Springer Nature
ISBN 13 : 9811582211
Total Pages : 3212 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Automation, Signal Processing, Instrumentation, and Control by : Venkata Lakshmi Narayana Komanapalli

Download or read book Advances in Automation, Signal Processing, Instrumentation, and Control written by Venkata Lakshmi Narayana Komanapalli and published by Springer Nature. This book was released on 2021-03-04 with total page 3212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.

Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1003837336
Total Pages : 419 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem by : Alex Khang

Download or read book Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem written by Alex Khang and published by CRC Press. This book was released on 2024-03-29 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders. It looks at the methodologies, technologies, models, frameworks, and practices necessary to resolve the challenging issues associated with leveraging the emerging technologies driving the medical field. The chapters discuss machine vision, AI-driven computer vision, machine learning, deep learning, AI-integrated IoT technology, data science, blockchain, AR/VR technology, cloud data, and cybersecurity techniques in designing and implementing a smart healthcare infrastructure in the era of the Industrial Revolution 4.0. Techniques are applied to the detection, diagnosis, and monitoring of a wide range of health issues. Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and professionals who are researching and working in the field of medical and healthcare industries from different environments and countries.

Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Author : Amit Kumar Tyagi
Publisher : Springer Nature
ISBN 13 : 9811665427
Total Pages : 451 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Interactive Multimedia Systems for e-Healthcare Applications by : Amit Kumar Tyagi

Download or read book Intelligent Interactive Multimedia Systems for e-Healthcare Applications written by Amit Kumar Tyagi and published by Springer Nature. This book was released on 2021-11-15 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.

Proceedings of Data Analytics and Management

Author : Abhishek Swaroop
Publisher : Springer Nature
ISBN 13 : 9819965535
Total Pages : 550 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of Data Analytics and Management by : Abhishek Swaroop

Download or read book Proceedings of Data Analytics and Management written by Abhishek Swaroop and published by Springer Nature. This book was released on 2024-01-29 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

GeoComputation and Public Health

Author : Gouri Sankar Bhunia
Publisher : Springer Nature
ISBN 13 : 3030711986
Total Pages : 298 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis GeoComputation and Public Health by : Gouri Sankar Bhunia

Download or read book GeoComputation and Public Health written by Gouri Sankar Bhunia and published by Springer Nature. This book was released on 2021-06-24 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify numerous methods and solicitations in addressing vectors borne diseases (e.g, Visceral leishmaniasis, Malaria, Filaria). This book includes a practical coverage of the use of spatial analysis techniques in vector-borne disease using open source software solutions. Environmental factors (relief characters, climatology, ecology, vegetation, water bodies etc.) and socio-economic issues (housing type & pattern, education level, economic status, income level, domestics’ animals, census data, etc) are investigated at micro -level and large scale in addressing the various vector-borne disease. This book will also generate a framework for interdisciplinary discussion, latest innovations, and discoveries on public health. The first section of the book highlights the basic and principal aspects of advanced computational practices. Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research. This book will be useful to the postgraduate students of geography, remote sensing, ecology, environmental sciences and research scholars, along with health professionals looking to solve grand challenges and management on public health.