Decision Sciences for COVID-19

Learning Through Case Studies
1. Auflage 2022
ISBN: 978-3-030-87021-8
Verlag: Springer International Publishing

Buch, Englisch, Band 320, 481 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: International Series in Operations Research & Management Science

This 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.

Zielgruppe

Research

Autoren/Hrsg.

Hassan, Said Ali

Alnowibet, Khalid Abdulaziz

Mohamed, Ali Wagdy

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung

Inhaltsverzeichnis

Part 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 MultipleOnline 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.

Über Autor(innen)

Said Ali Hassan is a full professor at the Department of Operations Research and Decision Support, Faculty of Computers and Artificial Intelligence, Cairo University (Egypt). He has published plenty of research papers in respected journals and at conferences and serves as a reviewer for many international journals. His research interests lie broadly in Operations Research, Optimization, Decision sciences, Forecasting, Management science, Strategic management, and modelling-solving of real-life applications.

Ali Wagdy Mohamed is an associate professor at the Department Operations Research, Cairo University (Egypt), and an associate professor of statistics at the Wireless Intelligent Networks Center (WINC), Nile University (Egypt). His research focuses on mathematical and statistical modeling, stochastic and deterministic optimization, swarm intelligence, and evolutionary computation.

Khalid Abdulaziz Alnowibet is an associate professor at the Department of Operations Research, King Saud University (Saudi Arabia). He has published several papers in multiple research areas related to operations research, including stochastic modeling, queueing theory and applications, stochastic processes theory and applications, and modeling communication networks.