Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis, Pani
Автор: Aditya Khamparia, Bharat Bhushan, Prajoy Podder, Rubaiyat Hossain Mondal, Sachin Kumar, Victor Hugo C. de Albuquerque Название: Computational Intelligence for Managing Pandemics ISBN: 3110700204 ISBN-13(EAN): 9783110700206 Издательство: Walter de Gruyter Рейтинг: Цена: 23979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Chapter 8: Machine learning approaches for COVID 19 pandemic
Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme
Chapter 9: Smart sensing for COVID 19 Pandemic
Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme
Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic
Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme
Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters
Arianne Sarmento Torcate, Flбvio Secco Fonseca, Antфnio Ravely. T. Lima, Flaviano Palmeira Santos, Tбssia D. Muniz S. Oliveira, Maнra Araъjo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos
Chapter 12: Bioinformatics in Diagnosis of Covid-19
Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques
Bhimavarapu Usharani
Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data
Sitanath Biswas, Sujata Dash
Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning
Maнra Araъjo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Jonathan Bandeira, Mкuser Jorge Silva Valenзa, Ricardo Emmanuel de Souza, Aras Ismael Masood, Wellington Pinheiro dos Santos
Chapter 16: Analysis of Blockchain Backed Covid19 Data
Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram
Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review
Clarisse Lins de Lima, Ana Clara Gomes da Silva, Cecilia Cordeiro da Silva, Giselle Machado Magalhгes Moreno, Abel Guilhermino da
Описание: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
Описание: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
Автор: Kshatri Sapna Singh, Thakur Kavita, Khan Maleika Heenaye Mamode Название: Computational Intelligence and Applications for Pandemics and Healthcare ISBN: 1799898318 ISBN-13(EAN): 9781799898313 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82994.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides both theoretical and practical evidence that demonstrates how through the integration, adaptation, construction and application of strategic models, methods and tools, organisational sustainability can be promoted for economies in a situation of uncertainty.
Автор: Kenkre V. M. (Nitant), Giuggioli Luca Название: Theory of the Spread of Epidemics and Movement Ecology of Animals ISBN: 1108841406 ISBN-13(EAN): 9781108841405 Издательство: Cambridge Academ Рейтинг: Цена: 21384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on the Hantavirus epidemic, which has appeared throughout the world and is facilitated by the random movements of mice and other rodents, this book explains the spread of epidemics by exploiting powerful methodologies from physics and mathematics. Flocking and territoriality of animals are also investigated.
Описание: Recent applications of evolutionary game theory in the merging fields of the mathematical and social sciences are brilliantly portrayed in this book, which highlights social physics and shows how the approach can help to quantitatively model complex human–environmental–social systems.First, readers are introduced to the fundamentals of evolutionary game theory. The two-player, two-strategy game, or the 2 ? 2 game, is presented as an archetype to help understand the difficulty of cooperating for survival against defection in common social contexts. Subsequently, the book explains the theoretical background of the multi-player, two-strategy game, which may be more widely applicable than the 2 ? 2 game for social dilemmas. The latest applications of 2 ? 2 games are also discussed to explore how integrated reciprocity mechanisms can solve social dilemmas.In turn, the book describes two practical areas in which evolutionary game theory has been applied. The first concerns traffic flow analysis. In conventional interpretations, traffic flow can be understood by means of fluid dynamics, in which the flow of vehicles is evaluated as a continuum body. Such a simple idea, however, does not work well in reality, particularly if a driver’s decision-making process is considered. Various dilemmas involve complex structures that depend primarily on traffic density, a revelation that should help establish a practical solution for reducing traffic congestion.Second, the book provides keen insights into how powerful evolutionary game theory can be in the context of epidemiology. Both approaches, quasi-analytical and multi-agent simulation, can clarify how an infectious disease such as seasonal influenza spreads across a complex social network, which is significantly affected by the public attitude toward vaccination. A methodology is proposed for the optimum design of a public vaccination policy incorporating subsidies to efficiently increase vaccination coverage while minimizing the social cost.
Описание: This book comes from genuine research from various universities in Asia, such as in South East Asia and India. Since COVID-19 pandemic is spreading all over the world, most schools and institutions of higher learning have opted online-based learning for their teaching and learning (T&L) activities. Previously, the common practices in T&L are face to face (F2F). Therefore, online T&L is a new normal not just for the students but also for the instructors as well as the parents. In this book, different online teaching methods via technology-supported teaching have been implemented, and at the end of the lesson, based on the feedback from students on these online technology-supported teaching tools, most educators found that there are positive responses from majority of students, in terms of their learning, attitudes, thinking and decision-making process, apart from the challenges faced by the students in the beginning, with regards to the new approaches and methodology used by their teachers during online teaching. There are eight contributed chapters in this book covering secondary school-level curriculum up to higher institutional-level curriculum that forming a new system of T&L for post-COVID-19 pandemic. The topics under consideration include active learning (AL) and cooperative learning (CL) for T&L, task-based instruction (TBI), transition students’ adaptability to post-COVID-19, creative and innovative teaching methods for secondary school-level mathematics, project-based learning (PPBL) for geophysics and impact of Socratic method and SOLO taxonomy. This book is suitable for postgraduate students, teachers, instructor, educational researchers, as well as policy makers in education and other scientists who are dedicated in teaching and educate students.
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