LEADER 05068nam 22006855 450 001 9910744502103321 005 20240628115858.0 010 $a3-031-33183-4 024 7 $a10.1007/978-3-031-33183-1 035 $a(MiAaPQ)EBC30739080 035 $a(Au-PeEL)EBL30739080 035 $a(DE-He213)978-3-031-33183-1 035 $a(PPN)272735450 035 $a(CKB)28204512100041 035 $a(EXLCZ)9928204512100041 100 $a20230911d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Modeling and Intelligent Control for Combating Pandemics /$fedited by Zakia Hammouch, Mohamed Lahby, Dumitru Baleanu 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (278 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v203 311 08$aPrint version: Hammouch, Zakia Mathematical Modeling and Intelligent Control for Combating Pandemics Cham : Springer,c2023 9783031331824 320 $aIncludes bibliographical references and index. 327 $aPart. 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. 330 $aThe contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus. 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v203 606 $aSystem theory 606 $aControl theory 606 $aMathematics 606 $aSystems Theory, Control 606 $aApplications of Mathematics 606 $aEpidèmies$2thub 606 $aSistemes de control per retroacció$2thub 606 $aModels matemàtics$2thub 608 $aLlibres electrònics$2thub 615 0$aSystem theory. 615 0$aControl theory. 615 0$aMathematics. 615 14$aSystems Theory, Control . 615 24$aApplications of Mathematics. 615 7$aEpidèmies 615 7$aSistemes de control per retroacció 615 7$aModels matemàtics 676 $a006.3 676 $a362.1969015118 702 $aHammouch$b Zakia 702 $aLahby$b Mohamed 702 $aBaleanu$b D$g(Dumitru), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910744502103321 996 $aMathematical Modeling and Intelligent Control for Combating Pandemics$93572399 997 $aUNINA