Cover Image
Read Now

Mathematical Modeling and Intelligent Control for Combating Pandemics

The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in c...

Full description

Bibliographic Details
Other Authors: Hammouch, Zakia (Editor), Lahby, Mohamed (Editor), Baleanu, Dumitru (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Springer Optimization and Its Applications
Subjects:
Control Theory
Systems Theory, Control
System Theory
Applications Of Mathematics
Mathematics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part. 1. Mathematical Modeling and analysis for Covid-19 Pandemic
  • Chapter. 1. An Extended Fractional SEIR Model to Predict the Spreading Behavior of COVID-19 Disease using Monte-Carlo Back Sampling
  • Chapter. 2. Dynamics and optimal control methods for the COVID-19 model
  • Chapter. 3. Optimal Strategies to Prevent COVID-19 from Becoming a Pandemic
  • Chapter. 4. Modeling and analysis of COVID-19 based on a deterministic compartmental model and Bayesian inference
  • Chapter. 5. Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO
  • Chapter. 6. An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults
  • Part. 2. Intelligent Control Techniques and Covid-19 Pandemic
  • Chapter. 7. The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19
  • Chapter. 8. Coronavirus Lung Image Classification with Uncertainty Estimation using Bayesian Convolutional Neural Networks
  • Chapter.9. Identify Unfavorable COVID Medicine Reactions From The Three-Dimensional Structure By Employing Convolutional Neural Network
  • Chapter. 10. Using Reinforcement Learning for optimizing COVID-19 vaccine distribution strategies
  • Chapter. 11. Incorporating Contextual Information and Feature Fuzzification for Effective Personalized Healthcare Recommender System
  • Chapter. 12. Prediction of Growth and Review of Factors influencing the Transmission of COVID-19
  • Chapter. 13. COVID-19 Combating Strategies and Associated Variables for its Transmission: An approach with multi-criteria decision-making techniques in the Indian context
  • Chapter. 14. Crisis management, Internet and AI: Information in the age of COVID-19, and future pandemics

Similar Items