Mathematical Modeling and Intelligent Control for Combating Pandemics Mathematical Modeling and Intelligent Control for Combating Pandemics
Springer Optimization and Its Applications

Mathematical Modeling and Intelligent Control for Combating Pandemics

Zakia Hammouch والمزيد
    • ‏129٫99 US$
    • ‏129٫99 US$

وصف الناشر

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 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.

النوع
علم وطبيعة
تاريخ النشر
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١١ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Switzerland
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Discrete Diversity and Dispersion Maximization Discrete Diversity and Dispersion Maximization
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Handbook for Management of Threats Handbook for Management of Threats
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Polynomial Optimization, Moments, and Applications Polynomial Optimization, Moments, and Applications
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Exploring Mathematical Analysis, Approximation Theory, and Optimization Exploring Mathematical Analysis, Approximation Theory, and Optimization
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Interval Linear Programming and Extensions Interval Linear Programming and Extensions
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Solutions of Fixed Point Problems with Computational Errors Solutions of Fixed Point Problems with Computational Errors
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