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COVID-19: Prediction, Decision-Making, and its Impacts

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	COVID-19: Prediction, Decision-Making, and its Impacts/ edited by K.C. Santosh, Amit Joshi.
其他作者:	Joshi, Amit.
面頁冊數:	XII, 137 p. 24 illus., 19 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Science and Technology Studies. -
電子資源:	https://doi.org/10.1007/978-981-15-9682-7
ISBN:	9789811596827

COVID-19: Prediction, Decision-Making, and its Impacts
COVID-19: Prediction, Decision-Making, and its Impacts[electronic resource] /edited by K.C. Santosh, Amit Joshi. - 1st ed. 2021. - XII, 137 p. 24 illus., 19 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,602367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

AI Joins the Fight Against COVID-19 -- AI for COVID-19: Conduits for Public Health Surveillance -- A Pre-screening Approach for COVID 19 Testing based on Belief Rule-Based Expert System -- Local Analytical System for Early Epidemic Detection -- Implementing early detection system for Covid-19 using anomaly detection -- Covid-19 classification based on Gray-Level Co-Occurrence Matrix and Support Vector Machine -- Rough sets in COVID-19 to Predict Symptomatic Cases -- COVID-19 Detection via Wavelet Entropy and Biogeography-based Optimization -- Machine Learning in Fighting Pandemics: A COVID-19 Case Study -- Robotics in Healthcare Against COVID-19 -- COVID-19: A necessity for changes and innovations -- Prediction to Service Delivery: AI in Action -- COVID-19 impacts construction industry: then, now, and future -- COVID-19 on Air Quality Index (AQI): A necessary evil?.

The book aims to outline the issues of AI and COVID-19, involving predictions, medical support decision-making, and possible impact on human life. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for several problems, such as public health surveillance, early (epidemic) prediction, COVID-19 positive case detection, and robotics integration against COVID-19. Beside mathematical modeling, it includes the necessity of changes in innovations and possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machine learning, and data analytics are considered. It aims to include the wide range of audiences from computer science and engineering to healthcare professionals.

ISBN: 9789811596827

Standard No.: 10.1007/978-981-15-9682-7doiSubjects--Topical Terms:

1140135
Science and Technology Studies.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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