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001480974 019__ $$a1396974100$$a1397570951
001480974 020__ $$a9783031331831$$q(electronic bk.)
001480974 020__ $$a3031331834$$q(electronic bk.)
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001480974 0247_ $$a10.1007/978-3-031-33183-1$$2doi
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001480974 08204 $$a362.1969015118$$223/eng/20230920
001480974 24500 $$aMathematical modeling and intelligent control for combating pandemics /$$cZakia Hammouch, Mohamed Lahby, Dumitru Baleanu, editors.
001480974 264_1 $$aCham :$$bSpringer,$$c2023.
001480974 300__ $$a1 online resource (xiv, 272 pages) :$$billustrations (some color).
001480974 336__ $$atext$$btxt$$2rdacontent
001480974 337__ $$acomputer$$bc$$2rdamedia
001480974 338__ $$aonline resource$$bcr$$2rdacarrier
001480974 4901_ $$aSpringer optimization and its applications,$$x1931-6836 ;$$vvolume 203
001480974 504__ $$aIncludes bibliographical references and index.
001480974 5050_ $$aPart. 1. Mathematical Modeling and analysis for Covid-19 Pandemic -- Chapter. 1. An Extended Fractional SEIR Model to Predict the Spreading Behavior of COVID-19 Disease using Monte-Carlo Back Sampling -- Chapter. 2. Dynamics and optimal control methods for the COVID-19 model -- Chapter. 3. Optimal Strategies to Prevent COVID-19 from Becoming a Pandemic -- Chapter. 4. Modeling and analysis of COVID-19 based on a deterministic compartmental model and Bayesian inference -- Chapter. 5. Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO -- Chapter. 6. An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults -- Part. 2. Intelligent Control Techniques and Covid-19 Pandemic -- Chapter. 7. The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19 -- Chapter. 8. Coronavirus Lung Image Classification with Uncertainty Estimation using Bayesian Convolutional Neural Networks -- Chapter. 9. Identify Unfavorable COVID Medicine Reactions From The Three-Dimensional Structure By Employing Convolutional Neural Network -- Chapter. 10. Using Reinforcement Learning for optimizing COVID-19 vaccine distribution strategies -- Chapter. 11. Incorporating Contextual Information and Feature Fuzzification for Effective Personalized Healthcare Recommender System -- Chapter. 12. Prediction of Growth and Review of Factors influencing the Transmission of COVID-19 -- Chapter. 13. COVID-19 Combating Strategies and Associated Variables for its Transmission: An approach with multi-criteria decision-making techniques in the Indian context -- Chapter. 14. Crisis management, Internet and AI: Information in the age of COVID-19, and future pandemics.
001480974 506__ $$aAccess limited to authorized users.
001480974 520__ $$aThe contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus.
001480974 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 20, 2023).
001480974 650_0 $$aPandemics$$xPrevention.
001480974 650_0 $$aPandemics$$xMathematical models.
001480974 650_0 $$aIntelligent control systems.
001480974 650_6 $$aPandémies$$xModèles mathématiques.
001480974 650_6 $$aCommande intelligente.
001480974 655_0 $$aElectronic books.
001480974 7001_ $$aHammouch, Zakia,$$eeditor.
001480974 7001_ $$aLahby, Mohamed,$$eeditor.$$1https://orcid.org/0000-0002-8272-0487
001480974 7001_ $$aBaleanu, D.$$q(Dumitru),$$eeditor.
001480974 77608 $$iPrint version:$$aHammouch, Zakia$$tMathematical Modeling and Intelligent Control for Combating Pandemics$$dCham : Springer,c2023$$z9783031331824
001480974 830_0 $$aSpringer optimization and its applications ;$$vv. 203.$$x1931-6836
001480974 852__ $$bebk
001480974 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-33183-1$$zOnline Access$$91397441.1
001480974 909CO $$ooai:library.usi.edu:1480974$$pGLOBAL_SET
001480974 980__ $$aBIB
001480974 980__ $$aEBOOK
001480974 982__ $$aEbook
001480974 983__ $$aOnline
001480974 994__ $$a92$$bISE