Convergence Of Cloud Computing Ai And Agricultural Science

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Convergence of Cloud Computing, AI, and Agricultural Science

Author : Sharma, Avinash Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 401 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Convergence of Cloud Computing, AI, and Agricultural Science by : Sharma, Avinash Kumar

Download or read book Convergence of Cloud Computing, AI, and Agricultural Science written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2023-08-18 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convergence of Cloud Computing, AI, and Agricultural Science explores the transformative potential of integrating cutting-edge technologies into the field of agriculture. With the rapid advancements in cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT), this research presents a comprehensive framework for monitoring agriculture farms remotely using a smart cloud-based system. The book delves into the application of AI-based machine learning models, such as the Support Vector Machine (SVM), to accurately classify and process the collected data. This advanced research reference book also explores how digital information can provide farmers with information about international markets, enabling them to make informed decisions regarding their crops. With its academic tone and in-depth exploration of cloud computing in smart agriculture, this book serves as an essential resource for researchers, academics, and professionals in the fields of agriculture, computer science, and environmental science. By examining the convergence of cloud computing, AI, and agricultural science, it provides a roadmap for harnessing technology to revolutionize farming practices and ensure sustainable agri-food systems in the digital era.

The Convergence of Self-Sustaining Systems With AI and IoT

Author : Rajappan, Roopa Chandrika
Publisher : IGI Global
ISBN 13 :
Total Pages : 428 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis The Convergence of Self-Sustaining Systems With AI and IoT by : Rajappan, Roopa Chandrika

Download or read book The Convergence of Self-Sustaining Systems With AI and IoT written by Rajappan, Roopa Chandrika and published by IGI Global. This book was released on 2024-04-26 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications

Author : Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi
Publisher : Bentham Science Publishers
ISBN 13 : 9815179195
Total Pages : 196 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications by : Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi

Download or read book Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications written by Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi and published by Bentham Science Publishers. This book was released on 2023-12-25 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.

Convergence of Cloud with AI for Big Data Analytics

Author : Danda B. Rawat
Publisher : John Wiley & Sons
ISBN 13 : 1119904889
Total Pages : 452 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Convergence of Cloud with AI for Big Data Analytics by : Danda B. Rawat

Download or read book Convergence of Cloud with AI for Big Data Analytics written by Danda B. Rawat and published by John Wiley & Sons. This book was released on 2023-03-21 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.

Methodologies, Frameworks, and Applications of Machine Learning

Author : Srivastava, Pramod Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 315 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Methodologies, Frameworks, and Applications of Machine Learning by : Srivastava, Pramod Kumar

Download or read book Methodologies, Frameworks, and Applications of Machine Learning written by Srivastava, Pramod Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).

Using Traditional Design Methods to Enhance AI-Driven Decision Making

Author : Nguyen, Tien V. T.
Publisher : IGI Global
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Traditional Design Methods to Enhance AI-Driven Decision Making by : Nguyen, Tien V. T.

Download or read book Using Traditional Design Methods to Enhance AI-Driven Decision Making written by Nguyen, Tien V. T. and published by IGI Global. This book was released on 2024-01-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

Serverless Computing Concepts, Technology and Architecture

Author : Aluvalu, Rajanikanth
Publisher : IGI Global
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Serverless Computing Concepts, Technology and Architecture by : Aluvalu, Rajanikanth

Download or read book Serverless Computing Concepts, Technology and Architecture written by Aluvalu, Rajanikanth and published by IGI Global. This book was released on 2024-04-04 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serverless computing has emerged as a transformative technology, gaining prominence over traditional cloud computing. It is characterized by reduced costs, lower latency, and the elimination of server-side management overhead, and is driven by the increasing adoption of containerization and microservices architectures. However, there is a significant lack of comprehensive resources for academic research purposes in this field. Serverless Computing Concepts, Technology, and Architecture addresses this gap and provides a comprehensive exploration of the fundamental concepts, characteristics, challenges, applications, and futuristic approaches of serverless computing. This book serves as a valuable reference for doctorate and post-doctorate research scholars, undergraduates, and postgraduates in fields such as computer science, information technology, electronics engineering, and other related disciplines. Serverless Computing Concepts, Technology, and Architecture is poised to be a one-stop reference point for those seeking to understand and harness the potential of serverless computing. It will serve as a prominent guide for researchers in this field for years to come, enriching their knowledge and advancing the study of serverless computing.

Future of AI in Medical Imaging

Author : Sharma, Avinash Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 327 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Future of AI in Medical Imaging by : Sharma, Avinash Kumar

Download or read book Future of AI in Medical Imaging written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-03-11 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

Advanced Geospatial Practices in Natural Environment Resource Management

Author : Vohra, Rubeena
Publisher : IGI Global
ISBN 13 :
Total Pages : 311 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advanced Geospatial Practices in Natural Environment Resource Management by : Vohra, Rubeena

Download or read book Advanced Geospatial Practices in Natural Environment Resource Management written by Vohra, Rubeena and published by IGI Global. This book was released on 2024-03-18 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the relentless depletion of natural resources has reached a critical juncture, demanding innovative solutions. Advanced Geospatial Practices in Natural Environment Resource Management dives into the intricate tapestry of issues jeopardizing ecosystems. This book systematically dissects the fundamental drivers, traces the historical evolution, and elucidates the underlying causes that have led to this precarious point. From deforestation to pollution, from climate change to habitat destruction, these challenges are multifaceted. By harnessing the power of data-driven decision-making and predictive modeling, this book advocates for a profound shift in the approach to environmental issues. This book also explores the complexities of water, soil, and air-related challenges, offering technically sound solutions that strike a balance between legislative, economic, social, and political considerations. The holistic approach championed in these pages holds the potential to benefit governments, businesses, and communities alike. This book is ideal for a diverse audience, including students, scholars, and researchers, as well as environmental science enthusiasts, geospatial technology professionals, and AI/ML practitioners. Policymakers, environmental engineers, and professionals engaged in governmental and corporate sustainability initiatives will also discover practical solutions to address the pressing challenges.

Balancing Automation and Human Interaction in Modern Marketing

Author : Nair, Arjun J.
Publisher : IGI Global
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Balancing Automation and Human Interaction in Modern Marketing by : Nair, Arjun J.

Download or read book Balancing Automation and Human Interaction in Modern Marketing written by Nair, Arjun J. and published by IGI Global. This book was released on 2024-04-05 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of artificial intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships.

Shaping the Future of Automation With Cloud-Enhanced Robotics

Author : Gatti, Rathishchandra Ramachandra
Publisher : IGI Global
ISBN 13 :
Total Pages : 457 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Shaping the Future of Automation With Cloud-Enhanced Robotics by : Gatti, Rathishchandra Ramachandra

Download or read book Shaping the Future of Automation With Cloud-Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI

Author : Kannan, Hemachandran
Publisher : IGI Global
ISBN 13 :
Total Pages : 447 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Exploring Ethical Dimensions of Environmental Sustainability and Use of AI by : Kannan, Hemachandran

Download or read book Exploring Ethical Dimensions of Environmental Sustainability and Use of AI written by Kannan, Hemachandran and published by IGI Global. This book was released on 2023-12-07 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.

Machine Learning and Deep Learning for Smart Agriculture and Applications

Author : Hashmi, Mohamamd Farukh
Publisher : IGI Global
ISBN 13 : 1668499762
Total Pages : 276 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Machine Learning and Deep Learning for Smart Agriculture and Applications by : Hashmi, Mohamamd Farukh

Download or read book Machine Learning and Deep Learning for Smart Agriculture and Applications written by Hashmi, Mohamamd Farukh and published by IGI Global. This book was released on 2023-08-29 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.

Convergence of Cloud with AI for Big Data Analytics

Author : Danda B. Rawat
Publisher : John Wiley & Sons
ISBN 13 : 1119905214
Total Pages : 452 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Convergence of Cloud with AI for Big Data Analytics by : Danda B. Rawat

Download or read book Convergence of Cloud with AI for Big Data Analytics written by Danda B. Rawat and published by John Wiley & Sons. This book was released on 2023-02-13 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.

Innovations, Securities, and Case Studies Across Healthcare, Business, and Technology

Author : Burrell, Darrell Norman
Publisher : IGI Global
ISBN 13 :
Total Pages : 579 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Innovations, Securities, and Case Studies Across Healthcare, Business, and Technology by : Burrell, Darrell Norman

Download or read book Innovations, Securities, and Case Studies Across Healthcare, Business, and Technology written by Burrell, Darrell Norman and published by IGI Global. This book was released on 2024-01-15 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: The longstanding practice of keeping academic disciplines separate has been a barrier to effectively addressing the complex challenges in our world. The boundaries separating fields like healthcare, social sciences, and technology have obscured the potential for interdisciplinary collaboration, preventing us from unlocking innovative solutions to the most pressing issues of our time. As a result, the critical problems we face, from healthcare inequities to technological advancements with ethical dilemmas, have remained largely unresolved. This fragmented approach to academic inquiry has left a void in our quest to tackle these challenges effectively. The solution is found within the pages of Innovations, Securities, and Case Studies Across Healthcare, Business, and Technology. This groundbreaking compendium illuminates the transformative potential of interdisciplinary collaboration, offering direction and support in the form of knowledge for scholars, researchers, practitioners, and students committed to solving real-world problems. By harnessing the collective wisdom of diverse disciplines, the book demonstrates how convergence across healthcare, social sciences, organizational behavior, and technology can lead to groundbreaking insights and solutions. It showcases success stories and innovative strategies that drive positive change within our societies, offering a roadmap towards a brighter, more interconnected future.

Inclusivity and Accessibility in Digital Health

Author : Anshari, Muhammad
Publisher : IGI Global
ISBN 13 :
Total Pages : 375 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Inclusivity and Accessibility in Digital Health by : Anshari, Muhammad

Download or read book Inclusivity and Accessibility in Digital Health written by Anshari, Muhammad and published by IGI Global. This book was released on 2024-04-15 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The persistent challenge of inequitable access to quality services plagues diverse age groups, creating a glaring gap in our pursuit of inclusive well-being. Despite the revolutionary strides in digital health and artificial intelligence (AI), the promise of universal accessibility remains unfulfilled. The disparities demand a comprehensive understanding of obstacles hindering inclusivity, setting the stage for a transformative solution. Inclusivity and Accessibility in Digital Health is a groundbreaking exploration that is a beacon of change in the healthcare narrative. This book transcends conventional boundaries, offering innovative frameworks, case studies, and empirical research. It delves into the transformative potential of AI and digital health, presenting actionable insights to tailor healthcare services, manage diseases, and elevate overall well-being. Aligned with the United Nations Sustainable Development Goals, this book inspires researchers, healthcare professionals, policymakers, and tech enthusiasts to harness the power of technology for an inclusive healthcare revolution.

Applications of Parallel Data Processing for Biomedical Imaging

Author : Khan, Rijwan
Publisher : IGI Global
ISBN 13 :
Total Pages : 367 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Applications of Parallel Data Processing for Biomedical Imaging by : Khan, Rijwan

Download or read book Applications of Parallel Data Processing for Biomedical Imaging written by Khan, Rijwan and published by IGI Global. This book was released on 2024-04-26 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research.