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Mathematical Modeling and Intelligent Control for Combating Pandemics (Springer Optimization and Its Applications) - Softcover

 
9783031331855: Mathematical Modeling and Intelligent Control for Combating Pandemics (Springer Optimization and Its Applications)

Synopsis

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.

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About the Author

Zakia Hammouch is currently a full Professor at the Ecole Normale Supérieure of the University Moulay Ismail Meknès. She is received her Masters in Applied Mathematics and her PhD in Numerical Analysis and Fluid Mechanics from the University of Picardie Jules Verne Amiens France.  She is Researcher at the Division of Applied Mathematics of Thu Dau Mot University Binh Duong in Vietnam and Consultant at the Department of Medical Research, China Medical University Hospital, Taichung, Taiwan. She is a Member of the European Women in Mathematics (EWM) Association, a Permanent Member of the Organization for Women in Science for the Developing World (OWSD) and an Advisory Member of the Abdus Salam School of Mathematical Sciences, Pakistan. She has published more than 100 articles and chapters in indexed journals and reputable books (Springer, Elsevier,…). She is a member of editorial boards of several international indexed journals (Scopus, WOS,…).

Mohamed Lahby isAssociate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. He was awarded a PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 50 papers (book chapters, international journals, and conferences), 7 edited books, and 2 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also serves as a referee of many prestigious Elsevier journals : Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated in more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN’19, CSPSC’19, MLNGSN’20, MLNGSN’21, AI2SC ’20 and WCTCP’20, CIOT’22. He has also edited many books published in Springer and Taylor.

Dumitru Baleanu is a Professor at the Institute of Space Sciences, Magurele-Bucharest, Romania and a visiting staff member at the Department of Mathematics,Cankaya University, Ankara, Turkey. Dumitru got his PhD from the Institute of Atomic Physics in 1996. His fields of interest include the fractional dynamics and its applications, fractional differential equations and their applications, discrete mathematics, image processing, bio-informatics, mathematical biology, mathematical physics, soliton theory, Lie symmetry, dynamic systems on time scales, computational complexity, the wavelet method and its applications, Dumitru is a pioneer of the fractional variational principles and their applications in control theory. He is one of the co-authors of the seminal paper entitled Anomalous diffusion expressed through fractional order differential operators in the Bloch-Torrey equation, published in Journal of  Magnetic Resonance  (2008),which  plays now a fundamental role within diffusion weighted MRI. Dumitru had an important role in developing the non-singular operators with Mittag-Leffler kernels and their applications in real world phenomena. He is a co-author of 15 books and he published more than 1000 papers indexed in ISI journals. His H index is 61 and he is a highly cited researcher in Mathematics and Engineering in 2019. He organized  several prestigious international conferences in various countries. He won the ICFDA2018 Award: Innovation in Fractional Calculus and 2019- Obada Prize. Dumitru is a co-author of a Chinese Patent No: ZL 2014 1 0033835.7 regarding chaotic maps and its important role in information encryption. He is the Editor in Chief of Progress in Fractional Differentiation and Applications and he is a Co-editor in Chief of Discontinuity, Nonlinearity and Complexity. Dumitru   is an editorial board member of Applied Numerical Analysis, Mathematics, Symmetry, Mathematical Methods in Applied Sciences, Fractional Calculus and Applied Analysis, Alexandria Journal of Engineering, Open Physics, Advances in Difference Equations, Journal of Computational and Nonlinear Dynamics.


From the Back Cover

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.

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9783031331824: Mathematical Modeling and Intelligent Control for Combating Pandemics (Springer Optimization and Its Applications, 203)

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ISBN 10:  3031331826 ISBN 13:  9783031331824
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. Seller Inventory # 9783031331855

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031331855

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