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Produktbild: Decision Sciences for COVID-19
Band 320

Decision Sciences for COVID-19 Learning Through Case Studies

Aus der Reihe International Series in Operations Research & Management Science

169,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2022

Abbildungen

XX, 481 p. 147 illus., 123 illus. in color.

Herausgeber

Said Ali Hassan + weitere

Verlag

Springer

Seitenzahl

481

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

916 g

Auflage

22001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-030-87018-8

Beschreibung

Portrait


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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2022

Abbildungen

XX, 481 p. 147 illus., 123 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

481

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

916 g

Auflage

22001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-030-87018-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Decision Sciences for COVID-19
  • 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.