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Mathematical Modeling and Intelligent Control for Combating Pandemics / / edited by Zakia Hammouch, Mohamed Lahby, Dumitru Baleanu
Mathematical Modeling and Intelligent Control for Combating Pandemics / / edited by Zakia Hammouch, Mohamed Lahby, Dumitru Baleanu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (278 pages)
Disciplina 006.3
362.1969015118
Collana Springer Optimization and Its Applications
Soggetto topico System theory
Control theory
Mathematics
Systems Theory, Control
Applications of Mathematics
Epidèmies
Sistemes de control per retroacció
Models matemàtics
Soggetto genere / forma Llibres electrònics
ISBN 3-031-33183-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910744502103321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Time series analysis : forecasting and control / / George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel
Time series analysis : forecasting and control / / George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel
Autore Box George E. P
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2008
Descrizione fisica 1 online resource (781 p.)
Disciplina 519.5/5
519.55
Altri autori (Persone) JenkinsGwilym M
ReinselGregory C
Collana Wiley series in probability and statistics
Soggetto topico Anàlisi de sèries temporals
Teoria de la predicció
Sistemes de control per retroacció
Control automàtic
Models matemàtics
Time-series analysis
Prediction theory
Transfer functions
Feedback control systems - Mathematical models
Soggetto genere / forma Llibres electrònics
ISBN 9781118619193
1118619196
9781118619063
1118619064
9781118210871
1118210875
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Stochastic models and their forecasting -- pt. 2. Stochastic model building -- pt. 3. Transfer function and multivariate model building -- pt. Design of discrete control schemes -- pt. 5. Charts and tables -- pt. 6. Exercises and problems.
Record Nr. UNINA-9910141180203321
Box George E. P  
Hoboken, N.J., : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui