Описание: The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.
Автор: Jensen, Henrik Jeldtoft (imperial College London) Название: Complexity science ISBN: 1108834760 ISBN-13(EAN): 9781108834766 Издательство: Cambridge Academ Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introductory textbook provides detailed coverage of the rapidly growing field of complexity science and accommodates readers from a wide variety of backgrounds, and with varying levels of mathematical skill. The book contains a broad range of end of chapter problems and extended projects, with solutions available to instructors online.
Описание: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19.
Автор: Kautish Sandeep, Peng Sheng-Lung, Obaid Ahmed J. Название: Computational Intelligence Techniques for Combating COVID-19 ISBN: 3030689387 ISBN-13(EAN): 9783030689384 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.
Автор: Rani Panigrahi, Chhabi ; Pati, Bibudhendu ; Rath, Название: Computational Modeling and Data Analysis in COVID-19 Research ISBN: 0367684284 ISBN-13(EAN): 9780367684280 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kautish Sandeep, Peng Sheng-Lung, Obaid Ahmed J. Название: Computational Intelligence Techniques for Combating Covid-19 ISBN: 3030689352 ISBN-13(EAN): 9783030689353 Издательство: Springer Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.
Автор: Kose Utku, Gupta Deepak, Albuquerque Victor Hugo Costa de Название: Data Science for COVID-19 Volume 1: Computational Perspectives ISBN: 0128245360 ISBN-13(EAN): 9780128245361 Издательство: Elsevier Science Рейтинг: Цена: 22065.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.
Название: Covid-19 ISBN: 0367674661 ISBN-13(EAN): 9780367674663 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Нет в наличии.
Описание: This book will highlight progress in terms of Virus Biology, Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques that will provide learners and researchers (basic to advanceD) with the most innovative computer-driven methodologies for the fight against COVID-19.
Автор: Marc Potters, Jean-Philippe Bouchaud Название: A First Course in Random Matrix Theory ISBN: 1108488080 ISBN-13(EAN): 9781108488082 Издательство: Cambridge Academ Рейтинг: Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
Автор: John Bechhoefer Название: Control Theory for Physicists ISBN: 1107001188 ISBN-13(EAN): 9781107001183 Издательство: Cambridge Academ Рейтинг: Цена: 10136.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Control theory, an interdisciplinary topic within the study of dynamical systems, is an important but often overlooked part of a physicist`s education. This is the first broad and complete treatment of the subject specifically tailored for physicists, spanning the basics to the most recent advances.
Описание: The Behavioral Approach for systems and control deals directly with the solution of the differential equations which represent the system. This book reviews this approach and offers new theoretic results. The programs and algorithms are MATLAB based.
Автор: Jiyuan Tu; Kiao Inthavong; Kelvin Kian Loong Wong Название: Computational Hemodynamics – Theory, Modelling and Applications ISBN: 9402407421 ISBN-13(EAN): 9789402407426 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood. This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowledge and techniques on reconstructing geometric models from medical imaging; mathematics that describe fluid and structural mechanics, and corresponding numerical/computational methods to solve its equations and problems. Many practical examples and case studies are presented to reinforce best practice guidelines for setting high quality computational models and simulations. These examples contain a large number of images for visualization, to explain cardiovascular physiological functions and disease. The reader is then exposed to some of the latest research activities through a summary of breakthrough research models, findings, and techniques. The book’s approach is aimed at students and researchers entering this field from engineering, applied mathematics, biotechnology or medicine, wishing to engage in this emerging and exciting field of computational hemodynamics modelling.
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