Ai Powered Iot For Covid 19
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Ai Powered Iot For Covid 19
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Author : Fadi Al-Turjman
language : en
Publisher: CRC Press
Release Date : 2020-12-10
Ai Powered Iot For Covid 19 written by Fadi Al-Turjman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Computers categories.
The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19. The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.
Ai Powered Iot For Covid 19
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Author : Fadi Al-Turjman
language : en
Publisher: CRC Press
Release Date : 2020-12-10
Ai Powered Iot For Covid 19 written by Fadi Al-Turjman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Computers categories.
The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19. The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.
Ai Driven Innovation In Healthcare Data Analytics
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Author : Özgür Polat, Leyla
language : en
Publisher: IGI Global
Release Date : 2024-11-27
Ai Driven Innovation In Healthcare Data Analytics written by Özgür Polat, Leyla and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Medical categories.
As the healthcare industry continues to rely on data to enhance patient outcomes and streamline operations, artificial intelligence (AI) becomes a powerful tool for complex dataset analysis using improved speed and accuracy. From predictive modeling in disease outbreak management to personalized treatment plans for individual patient profiles, AI technologies are reshaping clinical decision-making and resource allocation. Harnessing the potential of machine learning and advanced analytics may allow healthcare providers to uncover insights that drive innovation, improve patient care, and optimize operational efficiency. AI-Driven Innovation in Healthcare Data Analytics explores the intersection of AI and healthcare data analytics. It examines the application of AI-driven techniques, including machine learning, deep learning, and data mining, in addressing complex challenges in healthcare management. This book covers topics such as data science, medical diagnosis, and patient care, and is a useful resource for healthcare professionals, data scientists, computer engineers, business owners, academicians, and researchers.
Using Traditional Design Methods To Enhance Ai Driven Decision Making
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Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
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.
Iot And Big Data Technologies For Health Care
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Author : Zheng Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-04-29
Iot And Big Data Technologies For Health Care written by Zheng Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Medical categories.
This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17–18, 2023. The 29 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Healthcare Technologies and Innovations; Educational Technologies and Teaching Resources; Internet of Things (IoT) Applications and Systems; IoT and Automation Systems; Medical Research and Analysis.
Deep Learning In Personalized Healthcare And Decision Support
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Author : Harish Garg
language : en
Publisher: Elsevier
Release Date : 2023-07-20
Deep Learning In Personalized Healthcare And Decision Support written by Harish Garg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-20 with Science categories.
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
Forthcoming Networks And Sustainability In The Iot Era
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2022-04-01
Forthcoming Networks And Sustainability In The Iot Era written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-01 with Technology & Engineering categories.
This book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, unmanned aerial vehicles, cloud and edge computing, energy efficiency/harvesting, and computing power open the way to new domains, services, and business models beyond the traditional mobile Internet. The new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. These are only some examples of the challenges that are of interest to researchers in Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT). It will explore the latest developments, innovations, and best practices within the IoT and the impact it has on industries including: manufacturing, transport, supply chain, communication, government, legal sectors, financial services, energy utilities, insurance, health care, retail, and many others. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research, contributions, and views, on one forum, and interact with members inside and outside their own particular disciplines. Papers describing applications of IoT in e-Health, Smart Systems & Management, Communication, and Education are also included, but the focus is mainly on how new and novel techniques advance the performance in application areas, rather than a presentation of yet another application of conventional tool. Papers on such applications describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the techniques being exploited.
Ai Powered Advances In Pharmacology
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Author : Shaik, Aminabee
language : en
Publisher: IGI Global
Release Date : 2024-09-14
Ai Powered Advances In Pharmacology written by Shaik, Aminabee and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Medical categories.
In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.
Responsible Ai For Digital Health And Medical Analytics
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Author : Soufiene, Ben Othman
language : en
Publisher: IGI Global
Release Date : 2024-12-17
Responsible Ai For Digital Health And Medical Analytics written by Soufiene, Ben Othman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Medical categories.
In recent years, the healthcare industry has witnessed a rapid integration of artificial intelligence (AI) into various aspects of patient care, diagnosis, treatment, and management. The promise of improved efficiency, accuracy, and personalized healthcare has spurred the development and adoption of AI technologies. However, this rapid advancement has brought forth numerous ethical challenges, privacy concerns, and the need for responsible governance. The increasing reliance on AI in medical analytics raises questions about patient data privacy, algorithmic bias, transparency, and the overall impact on the doctor-patient relationship. The urgency to balance innovation with ethical considerations is underscored by high-profile incidents of AI system failures, biased algorithms, and potential risks to patient safety. As technology advances, further research is necessary to showcase the possibilities of AI while navigating the complexities of responsible implementation. Responsible AI for Digital Health and Medical Analytics explores the transformative potential of AI while placing a crucial emphasis on responsible and ethical practices. It decodes complex medical analytics and examines patient privacy solutions to overcome ethical challenges. This book covers topics such as blockchain, medical diagnosis and prediction, and personalized medicine, and is a useful resource for healthcare professionals, policymakers, data scientists, computer engineers, academicians, and researchers.
Ai Powered Leadership Transforming Organizations In The Digital Age
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Author : Baez, Maria D.
language : en
Publisher: IGI Global
Release Date : 2025-02-24
Ai Powered Leadership Transforming Organizations In The Digital Age written by Baez, Maria D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Business & Economics categories.
The integration of artificial intelligence into leadership practices is revolutionizing how organizations operate in the digital age. By leveraging AI, leaders can make data-driven decisions, predict market trends, and personalize employee experiences, fostering innovation and efficiency. This transformation empowers organizations to navigate complex challenges, streamline operations, and maintain a competitive edge in rapidly evolving industries. However, the adoption of AI also raises important ethical considerations and requires leaders to balance technological advancements with human-centered values to build trust and inclusivity. This shift reshapes traditional leadership paradigms, emphasizing adaptability, strategic thinking, and collaboration between humans and AI systems. AI-Powered Leadership: Transforming Organizations in the Digital Age explores how AI is reshaping leadership by providing tools for data-driven decision-making, enhancing organizational efficiency, and fostering innovation in the digital age. It offers insights into balancing technological advancements with ethical leadership practices, equipping readers to navigate the complexities of AI-powered organizational transformation. Covering topics such as agile project management, employee wellness, and workplace bullying, this book is an excellent resource for organizational leaders, executives, managers, HR professionals, business strategists, students, researchers, and more.