Search results for: ai-powered-iot-for-covid-19

AI Powered IoT for COVID 19

Author : Fadi Al-Turjman
File Size : 33.49 MB
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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

Author : Fadi Al-Turjman
File Size : 85.30 MB
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This book is dedicated to addressing the major challenges in fighting COVID-19 using AI and IoT technologies.

Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

Author : Jeya Mala, D.
File Size : 63.37 MB
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Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.

FINANCE LAW AND THE CRISIS OF COVID 19

Author : Nadia Mansour
File Size : 78.58 MB
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This book analyzes the impact of Covid-19 in different areas such as corporate social responsibility and legislation in SMEs, insolvency law, behavioral finance, government interventions in markets, financial disclosure, the emergence of unregulated financial sectors, the increase of coronavirus-related crimes, and the development of banking regulations in the Covid-19 pandemic, among others. The coronavirus epidemic, which has spread throughout the world, has highlighted the inadequacies of the health and social systems of all states, even the most advanced. The health emergency has required extraordinary measures, especially at the level of laws that are essential for the preservation of lives, health, and livelihoods. The priority for governments and even the international community was, from the outset, to prevent infections and care for those affected. Such a strategy required an unusual increase in health spending, even though it exceeded the State's financial capacity and lacked fiscal space. In addition to this challenge, which has not yet been overcome, there is another, that of redressing the consequences of the measures taken (general containment). It should be pointed out that during health crises, the state may have to review the requirement for transparency because of the emergency, but not free itself from it. The urgency could never be an alibi for a violation of citizens' rights and freedoms. With urgency, financial management systems must be flexible and responsive to all occurrences, while ensuring optimal use of resources and minimizing the risks of fraud and corruption.

Examining the Impact of Deep Learning and IoT on Multi Industry Applications

Author : Raut, Roshani
File Size : 82.7 MB
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Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Evolving Role of AI and IoMT in the Healthcare Market

Author : Fadi Al-Turjman
File Size : 50.63 MB
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This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.

Science and Technologies for Smart Cities

Author : Sara Paiva
File Size : 69.27 MB
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This book constitutes the refereed proceedings of the 6th Annual Smart City 360° Summit. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of seven conferences, namely AISCOVID 2020 - International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities; EdgeIoT 2020 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2020 - International Conference on Cognitive Computing and Cyber Physical Systems; CiCom 2020 - International Conference on Computational Intelligence and Communications; S-Cube 2020 - International Conference on Sensor Systems and Software; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities; and finnally, the Urb-IOT 2020 -International Conference on IoT in Urban Space.

Forthcoming Networks and Sustainability in the IoT Era

Author : Fadi Al-Turjman
File Size : 26.10 MB
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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.

Disruptive Technologies for Big Data and Cloud Applications

Author : J. Dinesh Peter
File Size : 23.61 MB
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This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.

Artificial Intelligence and Machine Learning for COVID 19

Author : Fadi Al-Turjman
File Size : 60.13 MB
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This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.