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Titlebook: Mathematical Analysis for Transmission of COVID-19; Nita H. Shah,Mandeep Mittal Conference proceedings 2021 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 16:12:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematical Analysis for Transmission of COVID-19
編輯Nita H. Shah,Mandeep Mittal
視頻videohttp://file.papertrans.cn/626/625983/625983.mp4
概述Is the first book that provides modeling on COVID-19 supported with numerical data.Describes various new research models with realistic scenario.Brings researchers/doctors/biologists on the same platf
叢書名稱Mathematical Engineering
圖書封面Titlebook: Mathematical Analysis for Transmission of COVID-19; Nita H. Shah,Mandeep Mittal Conference proceedings 2021 The Editor(s) (if applicable)
描述.This book describes various mathematical models that can be used to better understand the spread of?novel Coronavirus Disease 2019 (COVID-19)?and help to fight against various challenges that have been developed due to?COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi.?Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book?is?beneficial for practitioners, educators, researchers and?policymakers?handling the crisis of COVID-19 pandemic.?.
出版日期Conference proceedings 2021
關(guān)鍵詞Modelling and Analysis; Covid-19; SEIR - model; SIR - model; SEIRS – model; Reproduction number; Stability
版次1
doihttps://doi.org/10.1007/978-981-33-6264-2
isbn_softcover978-981-33-6266-6
isbn_ebook978-981-33-6264-2Series ISSN 2192-4732 Series E-ISSN 2192-4740
issn_series 2192-4732
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Nita H. Shah,Mandeep Mittalnformation technologies like the Internet of Things and the mobile Internet develop, the interconnection between vehicles and road facilities provides a new mechanism to improve transportation efficiency. In this paper, we adopt the mechanism of vehicle-road coordination, and propose a new dynamic t
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Bijal M. Yeolekar,Nita H. Shahessing. A single image may include several entities, their orientations, appearance, and position in a scene as well as their complex spatial interactions, thus leading to a lot of possible captions for an image. Search algorithm of Beam Search has been employed for the task of sentence for the last
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Sumit Kumar,Sandeep Sharma,Fateh Singh,PS Bhatnagar,Nitu Kumari Despite the exceptional performance of various architectures in practice, we study a theoretical question: what is the condition for deep neural architectures to preserve all the information of the input data? Identifying the information lossless condition for deep neural architectures is important
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Ankit Sikarwar,Ritu Rani,Nita H. Shah,Ankush H. Sutharchniques may reveal novel biological knowledge. We developed a bioinformatics pipeline to investigate Chip-seq DNA binding proteins datasets for HepG2 liver cancer cell line downloaded from ENCODE project. Of 276 datasets, 175 passed our proposed quantity control testing. A pair-wise DNA co-location
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Samuel M. Nuugulu,Albert Shikongo,David Elago,Andreas T. Salom,Kolade M. Owolabiesses like olfactory perception. In recent years, understanding the neural mechanisms associated with this unique sensory modality has been gaining traction, due to increasing applications in various clinical and non-clinical research areas. Anatomically distinct, but functionally interconnected bra
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