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
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-10-30
Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers categories.
This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML 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 the Internet of Things (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 at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, 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.
Internet Of Things In Biomedical Engineering
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Author : Valentina Emilia Balas
language : en
Publisher: Academic Press
Release Date : 2019-06-14
Internet Of Things In Biomedical Engineering written by Valentina Emilia Balas and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Science categories.
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
Machine Learning And The Internet Of Medical Things In Healthcare
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Author : Krishna Kant Singh
language : en
Publisher: Academic Press
Release Date : 2021-04-14
Machine Learning And The Internet Of Medical Things In Healthcare written by Krishna Kant Singh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Science categories.
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
Ai And Data Analytics In Precision Agriculture For Sustainable Development
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Author : Sita Rani
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Ai And Data Analytics In Precision Agriculture For Sustainable Development written by Sita Rani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.
Digital Tools And Data For Innovative Healthcare
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Author : Patricia Ordonez de Pablos
language : en
Publisher: Academic Press
Release Date : 2025-10-13
Digital Tools And Data For Innovative Healthcare written by Patricia Ordonez de Pablos and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-13 with Science categories.
Digital Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researchers. In 6 sections, it provides an in-depth exploration of digital health technologies, offering practical applications and ethical guidelines that are essential for the effective use of health data. By focusing on the integration of AI and machine learning in clinical environments, the book equips its audience with the knowledge necessary to enhance patient outcomes and optimise healthcare operations. This comprehensive approach ensures that readers are well-prepared to navigate and leverage the rapidly evolving landscape of digital healthcare. - Provides understanding to the potential of digital tools in the field of healthcare and how these tools can build stronger national health systems - Include cases with experiences of applications of health data, tools and services for the digital transformation of healthcare sector - Give views and insights for the transition towards stronger healthcare models and infrastructures
Integrating Ai And Sustainability In Technical And Vocational Education And Training Tvet
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Integrating Ai And Sustainability In Technical And Vocational Education And Training Tvet written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Education categories.
As industries worldwide adopt advanced technologies and sustainable practices, the role of technical and vocational education and training (TVET) is evolving to meet these new demands. TVET institutions must now integrate artificial intelligence (AI) and sustainability into their programs to produce a workforce equipped with future-ready skills. By incorporating AI tools and sustainable practices into TVET curricula, educators can provide learners with the competencies to thrive in green technologies, smart manufacturing, renewable energy, and other emerging fields. This integration empowers individuals with new skills and contributes to a more sustainable, resilient global economy. Further exploration may bridge the gap between technological advancement and environmental responsibility. Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET) provides a comprehensive guide on how TVET can successfully incorporate technological elements, addressing the frameworks, strategies, best practices, and challenges associated with this transformation. It supports educators in navigating the complexities of integrating AI and sustainability into vocational training. This book covers topics such as cybersecurity, data science, and supply chains, and is a useful resource for business owners, engineers, educators, academicians, researchers, and data scientists.
Exploring The Impact Of Extended Reality Xr Technologies On Promoting Environmental Sustainability
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Author : Shashi Kant Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-06-11
Exploring The Impact Of Extended Reality Xr Technologies On Promoting Environmental Sustainability written by Shashi Kant Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
This book offers a groundbreaking exploration of how Extended Reality (XR) technologies can drive environmental sustainability. By integrating virtual, augmented, and mixed realities, it provides innovative solutions to enhance understanding and inspire action on environmental issues. The text is meticulously curated to cover the multifaceted applications of XR, from revolutionizing environmental practices with deep learning to leveraging quantum computing for sustainable solutions. It highlights the synergy between XR and artificial intelligence in optimizing supply chains and enhancing data analytics. Aimed at researchers, practitioners, and policymakers, this resource underscores the critical role of XR in environmental advocacy, emphasizing its potential in effective communication and behavior change. The book also delves into immersive education, fostering a culture of environmental stewardship through experiential learning. Ultimately, it calls for interdisciplinary collaboration to address pressing environmental challenges, envisioning a future where XR technologies are pivotal in safeguarding our planet.
Smart Education And Sustainable Learning Environments In Smart Cities
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-02-13
Smart Education And Sustainable Learning Environments In Smart Cities written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.
As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments becomes essential for academic achievement and the preparation of future generations. Smart Education and Sustainable Learning Environments in Smart Cities explores the intersection of education and smart technology. It investigates how smart technologies can be used to create inclusive, innovative, and environmentally sustainable educational ecosystems within the context of modern urban development. This book covers topics such as learning styles, data science, and cloud technology, and is a useful resource for computer engineers, educators, academicians, urban developers, policymakers, government officials, and researchers.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-19
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet's natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Ai Enabled Sustainable Innovations In Education And Business
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Ai Enabled Sustainable Innovations In Education And Business written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
Sustainability for the future is an ever-present concern. Modern innovations in education and business are enhancing resources and technology for improved sustainability-driven solutions. Artificial intelligence (AI), specifically, is transforming education and business by providing real-time data processing systems for decision support and streamlining processes. As a result, educators and business leaders are better able to allocate resources and maximize their impact on students, industries, and customers in addition to sustainability. By fostering efficiency and sustainability in education and business, AI may also increase individual environmental awareness and social responsibility. AI-Enabled Sustainable Innovations in Education and Business discusses technological advancements in digital education and learning, and in various industries, including healthcare, finance, and supply chains. It highlights advanced innovations for environmental, economic, and operational sustainability. Covering topics such as information and communication technology (ICT), state government programs, and automated device management, this book is an excellent resource for business leaders, executives, managers, educators, school administrators, technologists, computer engineers, sustainability advocates, professionals, researchers, scholars, academicians, and more.