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Mathematical Modeling in Bioscience. Theory and Applications. Advanced Studies in Complex Systems

  • Book

  • April 2025
  • Elsevier Science and Technology
  • ID: 6016321
Mathematical Modeling in Bioscience: Theory and Applications provides readers with tools and techniques for mathematical modeling in bioscience through a wide range of novel and intriguing topics. The book concentrates on larger elements of mathematical modeling in bioscience, including topics such as modeling of the Topp--Leone new power generalized Weibull-G distribution family, vector-borne disease modeling, transmission modeling of SARS-COV-2 among other infectious diseases, pattern formulation models, compartmental models for HIV/AIDS transmission, population models, irrigation scheduling models, and predator--prey models. The readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in bioscience modeling. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in mathematical modeling, including mathematics, statistics, biology, biomedical engineering, computer science, and applied sciences.

Table of Contents

1. Analysis of the Impact of Time Delay Incorporation in Mathematical Models of Cellular Population Dynamic
2. Alternatives food for predators: Elucidating their impact on a predation model with Allee effect on prey
3. Modeling and analysis of an eco-epidemiological model with Caputo-Fabrizio derivative
4. The Topp-Leone-Exponentiated Half Logistic-Generalized-G Family of Distributions with Applications
5. A mathematical model for the dynamics of Visceral Leishmaniasis disease with time delay
6. Fractalization through stochasticization processes in epileptic dynamics
7. Mathematical Model of Alzheimer Disease with Nonlocal and Nonsingular derivative
8. From Bubble Nucleation to Oscillatory Denaturation: Understanding Complex DNA Dynamics through Nonlinear Modeling
9. An inertial projective Mann algorithm for solving split equilibrium problems with application to Parkinson’s disease screening

Authors

Hemen Dutta Professor, Department of Mathematics, Gauhati University, India. Dr. Hemen Dutta PhD is a Professor at Gauhati University, India. He also served three other higher learning academic institutions in different capacities prior to joining the Gauhati University. His current research interests are in the areas of nonlinear analysis and mathematical modeling. He is a regular and guest editor of several international indexed journals. He has published 25 books, including Mathematical Modelling and Analysis of Infectious Diseases, New Trends in Applied Analysis and Computational Mathematics, Current Trends in Mathematical Analysis and Its Interdisciplinary Applications from Springer, Concise Introduction to Basic Real Analysis, Topics in Contemporary Mathematical Analysis and Applications, and Mathematical Methods in Engineering and Applied Sciences from CRC Press, and Fractional Order Analysis: Theory, Methods and Applications from Wiley, among others. Dr. Dutta is also an honorary research affiliate and speaker for several international and national events.