Rajdeep Chowdhury – författare

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.

This new volume illustrates the diverse applications of IoT. The volume addresses the crucial issue of data safekeeping along with the development of a new cryptographic and security technology as well as a range of other advances in IoT. The volume looks at the application of IoT in medical technology and healthcare, including the design of IoT-based mobile healthcare units and a blockchain technique based smart health record system. Other topics include a blended IoT-enabled learning approach through a study employing clustering techniques, an IoT-enabled garbage disposal system with an advanced message notification system through an android application, IoT-based self-healing concrete that uses bacteria and environmental waste, an IoT-enabled trash-the-ash application that regulates flow, and more.

The fresh and innovative advances that demonstrate computational intelligence and IoT in practice that are discussed in this volume will be informative for academicians, scholars, scientists, industry professionals, policymakers, government and non-government organizations, and others.

This new volume illustrates the diverse applications of IoT. The volume addresses the crucial issue of data safekeeping along with the development of a new cryptographic and security technology as well as a range of other advances in IoT. The volume looks at the application of IoT in medical technology and healthcare, including the design of IoT-based mobile healthcare units and a blockchain technique based smart health record system. Other topics include a blended IoT-enabled learning approach through a study employing clustering techniques, an IoT-enabled garbage disposal system with an advanced message notification system through an android application, IoT-based self-healing concrete that uses bacteria and environmental waste, an IoT-enabled trash-the-ash application that regulates flow, and more.

The fresh and innovative advances that demonstrate computational intelligence and IoT in practice that are discussed in this volume will be informative for academicians, scholars, scientists, industry professionals, policymakers, government and non-government organizations, and others.

COVID-19 has pushed companies, schools, and healthcare institutions over the technology tipping point—and transformed the business of healthcare forever. This timely book, Global Digital Transformation Due to the COVID-19 Pandemic, explores this transformation by looking at the adoption of artificial intelligence, machine learning, and the Internet of Things (IoT) technologies that have proven effective in the medical context. These technologies are now being used to improve treatment efficiency, avoid the risk of false diagnosis, make therapeutic decisions, and predict the outcome of many clinical scenarios, especially the COVID-19 pandemic.

The book begins with the fundamentals of computer intelligence, related techniques, and procedures. This book describes the cutting-edge methods of new information technology used in healthcare, addressing the problem of effective data analysis and storage in healthcare institutions.

The volume provides an overview of communication technology for combating the COVID-19 pandemic and delves into mobile application technology, medical diagnosis technology, transmission dynamics prediction models, social media and technology instruction design in teaching amid COVID-19, post-pandemic crowd safety provisioning applications, to name a few.

The interdisciplinary and transdisciplinary research advances discussed here will be valuable for academics, engineers, industry professionals, researchers, scientists, and students working in the fields of data and information science.

COVID-19 has pushed companies, schools, and healthcare institutions over the technology tipping point—and transformed the business of healthcare forever. This timely book, Global Digital Transformation Due to the COVID-19 Pandemic, explores this transformation by looking at the adoption of artificial intelligence, machine learning, and the Internet of Things (IoT) technologies that have proven effective in the medical context. These technologies are now being used to improve treatment efficiency, avoid the risk of false diagnosis, make therapeutic decisions, and predict the outcome of many clinical scenarios, especially the COVID-19 pandemic.

The book begins with the fundamentals of computer intelligence, related techniques, and procedures. This book describes the cutting-edge methods of new information technology used in healthcare, addressing the problem of effective data analysis and storage in healthcare institutions.

The volume provides an overview of communication technology for combating the COVID-19 pandemic and delves into mobile application technology, medical diagnosis technology, transmission dynamics prediction models, social media and technology instruction design in teaching amid COVID-19, post-pandemic crowd safety provisioning applications, to name a few.

The interdisciplinary and transdisciplinary research advances discussed here will be valuable for academics, engineers, industry professionals, researchers, scientists, and students working in the fields of data and information science.