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001444859 001__ 1444859
001444859 003__ OCoLC
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001444859 020__ $$a9783030870195$$q(electronic bk.)
001444859 020__ $$a3030870197$$q(electronic bk.)
001444859 020__ $$z9783030870188
001444859 020__ $$z3030870189
001444859 0247_ $$a10.1007/978-3-030-87019-5$$2doi
001444859 035__ $$aSP(OCoLC)1302007333
001444859 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dN$T$$dEBLCP$$dOCL$$dUKAHL$$dOCLCQ
001444859 049__ $$aISEA
001444859 050_4 $$aHC59.3$$b.D43 2022
001444859 08204 $$a362.1962/414$$223
001444859 24500 $$aDecision sciences for COVID-19 :$$blearning through case studies /$$cSaid Ali Hassan, Ali Wagdy Mohamed, Khalid Abdulaziz Alnowibet, editors.
001444859 264_1 $$aCham :$$bSpringer,$$c[2022]
001444859 264_4 $$c©2022
001444859 300__ $$a1 online resource :$$billustrations (chiefly color).
001444859 336__ $$atext$$btxt$$2rdacontent
001444859 337__ $$acomputer$$bc$$2rdamedia
001444859 338__ $$aonline resource$$bcr$$2rdacarrier
001444859 4901_ $$aInternational series in operations research & management science ;$$vvolume 320
001444859 5050_ $$aPart 1: Artificial Intelligence -- 1. Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic -- 2. An IOT-Based COVID-19 Detector Using K-Nearest Neighbour -- 3. Predictive Analytics for Early Detection of COVID-19 by Fuzzy Logic -- 4. Role of Artificial Intelligence in Diagnosis of Covid-19 Using CT-Scan -- 5. Predicting the Pandemic Effect of COVID 19 on the Nigeria Economic, Crude Oil as a Measure Parameter Using Machine Learning -- Part II: Forecasting Techniques -- 6. Time Series Analysis and Forecast of COVID19 Pandemic -- 7. Forecasting COVID-19 pandemic with machine learning models in Nigeria -- 8. Nigerian COVID-19 Incidence Modelling and Forecasting with Univariate Time Model -- 9. Predicting the Spread of COVID-19 in Africa Using Facebook Prophet, Polynomial Regression and SIR Model -- 10. Comparing Predictive Accuracy of COVID-19 Prediction Models: A Case Study -- Part 3: Social Sciences -- 11. Akaike's Information Criteria (AIC) Algorithm for the Student Entrepreneurial Intention in Covid-19 Pandemic -- 12. Sentiment Analysis for COVID vaccinations using Twitter - Text Clustering of Positive and Negative Sentiments -- 13. Participation and Active Contribution of Private Universities in the Prevention of the COVID-19 Pandemic Transmission -- 14. Effects on Mental Health by the Coronavirus Disease 2019 (COVID-19) Pandemic Outbreak -- 15. Multimodal Analysis of Cognitive and Social Psychology Effects of COVID 19 Victims -- 16. Public Transport Passenger's Density Estimation Tool for Supporting Policy Responses for COVID-19 -- Part 4: Optimization Techniques -- 17. A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases -- 18. Hyper-Parameters Optimization of Deep Convolutional Neural Network for Detecting COVID-19 Using Differential Evolution -- Part 5: Data Science -- 19. Quality Design for COVID-19 Pandemic: Web Scraping Technique on Text Comments and Quality Ratings Using Multiple Online Sources -- 20. Data Science Models for Short-Term Forecast of Covid-19 Spread in Nigeria -- Part 6: COVID-19 Detection -- 21. Attention based Residual Learning Network for COVID-19 Detection Using Chest CT Images -- 22. COVID-19 Face Mask Detection Using CNN and Transfer Learning -- 23. LASSO-DT Based Classification Technique for Discovery of COVID-19 Disease Using Chest X-Ray Images -- Part 7: Economy -- 24. Economic Policies for the COVID-19 Pandemic: Lessons from the Great Recession -- 25. QOL Barometer for the Wellbeing of Citizens: Leverages during Critical Emergencies & Pandemic Disasters.
001444859 506__ $$aAccess limited to authorized users.
001444859 520__ $$aThis book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
001444859 588__ $$aDescription based upon print version of record.
001444859 647_7 $$aCOVID-19 Pandemic$$d(2020-)$$2fast$$0(OCoLC)fst02024716
001444859 650_0 $$aCOVID-19 (Disease)$$xEconomic aspects$$vCase studies.
001444859 650_0 $$aCOVID-19 Pandemic, 2020-$$xEconomic aspects$$vCase studies.
001444859 650_0 $$aDecision making.
001444859 650_6 $$aCOVID-19$$xAspect économique$$vÉtudes de cas.
001444859 650_6 $$aPandémie de COVID-19, 2020-$$xAspect économique$$vÉtudes de cas.
001444859 650_6 $$aPrise de décision.
001444859 655_7 $$aCase studies.$$2fast$$0(OCoLC)fst01423765
001444859 655_7 $$aCase studies.$$2lcgft
001444859 655_7 $$aÉtudes de cas.$$2rvmgf
001444859 655_0 $$aElectronic books.
001444859 7001_ $$aHassan, Said Ali,$$d1948-$$eeditor.
001444859 7001_ $$aMohamed, Ali Wagdy,$$d1978-$$eeditor.
001444859 7001_ $$aAlnowibet, Khalid Abdulaziz,$$eeditor.
001444859 77608 $$iPrint version:$$tDECISION SCIENCES FOR COVID-19.$$d[S.l.] : SPRINGER, 2022$$z3030870189$$w(OCoLC)1263864731
001444859 830_0 $$aInternational series in operations research & management science ;$$v320.
001444859 852__ $$bebk
001444859 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87019-5$$zOnline Access$$91397441.1
001444859 909CO $$ooai:library.usi.edu:1444859$$pGLOBAL_SET
001444859 980__ $$aBIB
001444859 980__ $$aEBOOK
001444859 982__ $$aEbook
001444859 983__ $$aOnline
001444859 994__ $$a92$$bISE