Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering

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Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Author : Arun Kumar Rana
Publisher :
ISBN 13 : 9781032759234
Total Pages : 0 pages
Book Rating : 4.7/5 (592 download)

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Book Synopsis Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering by : Arun Kumar Rana

Download or read book Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering written by Arun Kumar Rana and published by . This book was released on 2024-10-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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 around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses IoT and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed for different patient issues, and examines the usage of Arduino kits where the data can be transferred to cloud for internet-based uses. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography (EEG) and magnetic resonance imaging (MRI), which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval, and brain image segmentation.

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Author : Sujata Dash
Publisher : CRC Press
ISBN 13 : 1000534006
Total Pages : 382 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by : Sujata Dash

Download or read book Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics written by Sujata Dash and published by CRC Press. This book was released on 2022-02-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems

Internet of Things-Based Machine Learning in Healthcare

Author : Prasenjit Dey
Publisher : CRC Press
ISBN 13 : 1040031854
Total Pages : 242 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Internet of Things-Based Machine Learning in Healthcare by : Prasenjit Dey

Download or read book Internet of Things-Based Machine Learning in Healthcare written by Prasenjit Dey and published by CRC Press. This book was released on 2024-06-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.

Machine Learning and the Internet of Medical Things in Healthcare

Author : Krishna Kant Singh
Publisher : Academic Press
ISBN 13 : 012823217X
Total Pages : 290 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning and the Internet of Medical Things in Healthcare by : Krishna Kant Singh

Download or read book Machine Learning and the Internet of Medical Things in Healthcare written by Krishna Kant Singh and published by Academic Press. This book was released on 2021-04-14 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Machine Learning and IoT for Intelligent Systems and Smart Applications

Author : Madhumathy P.
Publisher :
ISBN 13 : 9781032047256
Total Pages : 227 pages
Book Rating : 4.0/5 (472 download)

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Book Synopsis Machine Learning and IoT for Intelligent Systems and Smart Applications by : Madhumathy P.

Download or read book Machine Learning and IoT for Intelligent Systems and Smart Applications written by Madhumathy P. and published by . This book was released on 2021-11 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering"--

Practical Artificial Intelligence for Internet of Medical Things

Author : Ben Othman Soufiene
Publisher : CRC Press
ISBN 13 : 1000831361
Total Pages : 346 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Practical Artificial Intelligence for Internet of Medical Things by : Ben Othman Soufiene

Download or read book Practical Artificial Intelligence for Internet of Medical Things written by Ben Othman Soufiene and published by CRC Press. This book was released on 2023-02-28 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Author : Sujata Dash
Publisher : CRC Press
ISBN 13 : 1000534057
Total Pages : 407 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by : Sujata Dash

Download or read book Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics written by Sujata Dash and published by CRC Press. This book was released on 2022-02-10 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems

Machine Learning for Critical Internet of Medical Things

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030809285
Total Pages : 267 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning for Critical Internet of Medical Things by : Fadi Al-Turjman

Download or read book Machine Learning for Critical Internet of Medical Things written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-02-03 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Further Advances in Internet of Things in Biomedical and Cyber Physical Systems

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030578356
Total Pages : 403 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Further Advances in Internet of Things in Biomedical and Cyber Physical Systems by : Valentina E. Balas

Download or read book Further Advances in Internet of Things in Biomedical and Cyber Physical Systems written by Valentina E. Balas and published by Springer Nature. This book was released on 2021-03-22 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the further advances in the field of the Internet of things, biomedical engineering and cyber physical system with recent applications. It is covering the various real-time, offline applications, and case studies in the field of recent technologies and case studies of the Internet of things, biomedical engineering and cyber physical system with recent technology trends. In the twenty-first century, the automation and management of data are vital, in that, the role of the Internet of things proving the potential support. The book is consisting the excellent work of researchers and academician who are working in the domain of emerging technologies, e.g., Internet of things, biomedical engineering and cyber physical system. The chapters cover the major achievements by solving and suggesting many unsolved problems, which am sure to be going to prove a strong support in industries towards automation goal using of the Internet of things, biomedical engineering and cyber physical system.

Internet of Things in Biomedical Engineering

Author : Valentina E. Balas
Publisher : Academic Press
ISBN 13 : 0128173572
Total Pages : 379 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Internet of Things in Biomedical Engineering by : Valentina E. Balas

Download or read book Internet of Things in Biomedical Engineering written by Valentina E. Balas and published by Academic Press. This book was released on 2019-06-14 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Artificial Intelligence for the Internet of Health Things

Author : K. Shankar
Publisher : CRC Press
ISBN 13 : 1000374335
Total Pages : 225 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence for the Internet of Health Things by : K. Shankar

Download or read book Artificial Intelligence for the Internet of Health Things written by K. Shankar and published by CRC Press. This book was released on 2021-05-10 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Cognitive Computing for Internet of Medical Things

Author : A Prasanth
Publisher : CRC Press
ISBN 13 : 1000806006
Total Pages : 231 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Cognitive Computing for Internet of Medical Things by : A Prasanth

Download or read book Cognitive Computing for Internet of Medical Things written by A Prasanth and published by CRC Press. This book was released on 2022-12-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Internet of Medical Things (IoMT) 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. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Internet of Things Enabled Machine Learning for Biomedical Application

Author : Neha Goel
Publisher : CRC Press
ISBN 13 : 9781032550824
Total Pages : 0 pages
Book Rating : 4.5/5 (58 download)

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Book Synopsis Internet of Things Enabled Machine Learning for Biomedical Application by : Neha Goel

Download or read book Internet of Things Enabled Machine Learning for Biomedical Application written by Neha Goel and published by CRC Press. This book was released on 2024-08-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: - Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning. - Highlights security and privacy issues in the healthcare system using the internet of things. - Discusses classification and implementation techniques of image segmentation. - Explains different algorithms of machine learning for image processing in a comprehensive manner. - Provides computational intelligence on the internet of things for future biomedical applications including lung cancer. It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Deep Learning and IoT in Healthcare Systems

Author : Krishna Kant Singh
Publisher : CRC Press
ISBN 13 : 1000089185
Total Pages : 333 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Deep Learning and IoT in Healthcare Systems by : Krishna Kant Singh

Download or read book Deep Learning and IoT in Healthcare Systems written by Krishna Kant Singh and published by CRC Press. This book was released on 2021-12-15 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.

Handbook of Artificial Intelligence in Biomedical Engineering

Author : Krishnan Saravanan
Publisher :
ISBN 13 : 9781003045564
Total Pages : 538 pages
Book Rating : 4.0/5 (455 download)

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Book Synopsis Handbook of Artificial Intelligence in Biomedical Engineering by : Krishnan Saravanan

Download or read book Handbook of Artificial Intelligence in Biomedical Engineering written by Krishnan Saravanan and published by . This book was released on 2021 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"--

Intelligent Internet of Things for Healthcare and Industry

Author : Uttam Ghosh
Publisher : Springer Nature
ISBN 13 : 3030814734
Total Pages : 388 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Internet of Things for Healthcare and Industry by : Uttam Ghosh

Download or read book Intelligent Internet of Things for Healthcare and Industry written by Uttam Ghosh and published by Springer Nature. This book was released on 2022 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

Internet of Things Enabled Machine Learning for Biomedical Application

Author : Neha Goel
Publisher :
ISBN 13 : 9781032783925
Total Pages : 0 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Internet of Things Enabled Machine Learning for Biomedical Application by : Neha Goel

Download or read book Internet of Things Enabled Machine Learning for Biomedical Application written by Neha Goel and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning. Highlights security and privacy issues in the healthcare system using the internet of things. Discusses classification and implementation techniques of image segmentation. Explains different algorithms of machine learning for image processing in a comprehensive manner. Provides computational intelligence on the internet of things for future biomedical applications including lung cancer. It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering"--