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Mathematical Modeling and Intelligent Control for Combating Pandemics
Editor
Listed:
- Zakia Hammouch(China Medical University Hospital)Mohamed Lahby(University of Hassan II Casablanca)Dumitru Baleanu(Cankaya University)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), 2023. "Mathematical Modeling and Intelligent Control for Combating Pandemics," Springer Optimization and Its Applications, Springer, number 978-3-031-33183-1, December.
Handle: RePEc:spr:spopap:978-3-031-33183-1
DOI: 10.1007/978-3-031-33183-1
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Book Chapters
The following chapters of this book are listed in IDEAS- A. S. Khoojine & M. Shadabfar & H. Jafari & V. R. Hosseini, 2023. "An Extended Fractional SEIR Model to Predict the Spreading Behavior of COVID-19 Disease using Monte Carlo Back Sampling," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 3-20, Springer.
- Saida Id ouaziz & Mohammed EL Khomssi, 2023. "Dynamics and Optimal Control Methods for the COVID-19 Model," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 21-38, Springer.
- Beyza Billur İskender Eroğlu & Dilara Yapışkan, 2023. "Optimal Strategies to Prevent COVID-19 from Becoming a Pandemic," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 39-55, Springer.
- Touria Jdid & Mohammed Benbrahim & Mohammed Nabil Kabbaj & Mohamed Naji, 2023. "Modeling and Analysis of COVID-19 Based on a Deterministic Compartmental Model and Bayesian Inference," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 57-74, Springer.
- Samar Wazir & Gautam Siddharth Kashyap & Karan Malik & Alexander E. I. Brownlee, 2023. "Predicting the Infection Level of COVID-19 Virus Using Normal Distribution-Based Approximation Model and PSO," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 75-91, Springer.
- Derya Avcı & Mine Yurtoğlu, 2023. "An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 93-108, Springer.
- Andrés Iglesias & Akemi Gálvez & Patricia Suárez, 2023. "The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 111-128, Springer.
- Mfundo Monchwe & Ibidun C. Obagbuwa & Alfred Mwanza, 2023. "Coronavirus Lung Image Classification with Uncertainty Estimation Using Bayesian Convolutional Neural Networks," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 129-153, Springer.
- Pranab Das & Dilwar Hussain Mazumder, 2023. "Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 155-167, Springer.
- Robertas Damaševičius & Rytis Maskeliūnas & Sanjay Misra, 2023. "Using Reinforcement Learning for Optimizing COVID-19 Vaccine Distribution Strategies," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 169-196, Springer.
- Mohammed Wasid & Khalid Anwar, 2023. "Incorporating Contextual Information and Feature Fuzzification for Effective Personalized Healthcare Recommender System," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 197-211, Springer.
- Gyanendra K. Verma, 2023. "Prediction of Growth and Review of Factors Influencing the Transmission of COVID-19," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 213-231, Springer.
- Debesh Mishra & Mohamed Lahby, 2023. "COVID-19 Combating Strategies and Associated Variables for Its Transmission: An Approach with Multi-Criteria Decision-Making Techniques in the Indian Context," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 233-257, Springer.
- Karim Darban & Smail Kabbaj & Khawla Esmaoui, 2023. "Crisis Management, Internet, and AI: Information in the Age of COVID-19 and Future Pandemics," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 259-270, Springer.
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