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Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis, Pani Subhendu Kumar, Dash Sujata, Dos Santos Wellington



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Автор: Pani Subhendu Kumar, Dash Sujata, Dos Santos Wellington
Название:  Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
ISBN: 9783030797522
Издательство: Springer
Классификация:
ISBN-10: 303079752X
Обложка/Формат: Hardcover
Страницы: 292
Вес: 0.775 кг.
Дата издания: 25.09.2021
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 164 illustrations, black and white; xxvi, 405 p. 164 illus.
Размер: 23.39 x 15.60 x 2.39 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic

Pramit Pandit, K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi, Rahul Thangeda, Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, K. K. Mishra, Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

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

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

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
Дополнительное описание: Chapter 1 Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic.- Chapter 2 COVID-19 TravelCover Post-lockdown Smart Transportation Management System for COVID-19.- Chapter 3 Diverse techniques applied for effective diagnosis of COVID



Data-Driven Computational Methods

Автор: Harlim John
Название: Data-Driven Computational Methods
ISBN: 1108472478 ISBN-13(EAN): 9781108472470
Издательство: Cambridge Academ
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Цена: 9436 р.
Наличие на складе: Нет в наличии.

Описание: The mathematics behind, and the practice of, computational methods that leverage data for modelling dynamical systems are described in this book. It will teach readers how to fit data on the assumed model and how to use data to determine the underlying model. Suitable for graduate students in applied mathematics, statistics, and engineering.

Computational Intelligence for Covid-19 and Future Pandemics: Emerging Applications and Strategies

Автор: Kose Utku, Watada Junzo, Deperlioglu Omer
Название: Computational Intelligence for Covid-19 and Future Pandemics: Emerging Applications and Strategies
ISBN: 9811637822 ISBN-13(EAN): 9789811637827
Издательство: Springer
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Цена: 27550 р.
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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.

Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics

Автор: Tanimoto Jun
Название: Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics
ISBN: 9811327688 ISBN-13(EAN): 9789811327681
Издательство: Springer
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Цена: 19897 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Computational Intelligence for Managing Pandemics

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
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Цена: 26263 р.
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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.

Engineering and Sciences Teaching and Learning Activities: New Systems Throughout Covid-19 Pandemics

Автор: Abdul Karim Samsul Ariffin, Husain Saiful Azmi
Название: Engineering and Sciences Teaching and Learning Activities: New Systems Throughout Covid-19 Pandemics
ISBN: 3030796132 ISBN-13(EAN): 9783030796136
Издательство: Springer
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Цена: 15305 р.
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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.

Modern Epidemics: From the Spanish Flu to Covid-19

Автор: Macip Salvador
Название: Modern Epidemics: From the Spanish Flu to Covid-19
ISBN: 1509546561 ISBN-13(EAN): 9781509546565
Издательство: Wiley
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Цена: 10296 р.
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Описание:

COVID-19 has made us all aware of the fact that we live in a world full of invisible enemies. Normally, we don't even realize they're there, but from time to time one of these microscopic creatures becomes powerful enough to turn everything upside down. What are these invisible enemies, and how can we prepare ourselves for the pandemics of the future?

A specialist in the cellular biology of diseases, Salvador Macip explains, in a language everyone can understand, what it means to share the planet with millions of microbes - some wonderful allies, others terrible foes. He provides a concise account of epidemics that changed history, and focuses on the great modern plagues that are still causing millions of deaths every year, from influenza, TB and malaria to COVID-19. Macip also examines the methods we have used - from vaccines to improved sanitation and social distancing - to try to control these invisible enemies.

This authoritative overview of modern epidemics and the pathogens that cause them will be essential reading for anyone who wants to understand our world today, a world in which some of the greatest threats to the human species come from the invisible microbes with which we share this planet.

The Psychology of Covid-19: Building Resilience for Future Pandemics

Автор: Joel Vos
Название: The Psychology of Covid-19: Building Resilience for Future Pandemics
ISBN: 1529751802 ISBN-13(EAN): 9781529751802
Издательство: Sage Publications
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Цена: 8407 р.
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Описание: The Psychology of Covid-19 explores how the coronavirus is giving rise to a new order in our personal lives, societies and politics.


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