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Recent Developments on Computational Biology-II

Submission Deadline: 30 April 2025 View: 53 Submit to Special Issue

Guest Editors

Prof. Carlo Cattani, Tuscia University, Italy
Prof. Haci Mehmet Baskonus, Harran University, Turkey
Prof. Armando Ciancio, University of Messina, Italy

Summary

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more sophisticated properties of real-world problems. In this sense, some models need to be investigated by using revised and modified traditional methods. The first discipline is the applied sciences such as physics, engineering, mechanics, electricity, biology, economy and mathematical applications. In this stage, many methods are developed and modified. To uncover the deep properties of problems is to use the main properties of such interdisciplinary properties. Furthermore, works conducted on such mathematical models including non-local operators, partial, ordinary and integer order have introduced a deeper investigations of problem for experts. By using technological tools, experts may observe more realistic and exact results of models.


This Special Issue is to render possible more investigation about the epidemiological properties of such models arising in nature based on non-local differential both theoretical and application aspects.

Topics of interest are given by the following fields and papers related to such fields are welcome.


•New epidemiological mathematical models

•Computational methods for differential equations with non-local operators

•New analytical and numerical methods to solve partial differential equations

•Analysis of Electrical engineering, epidemiological models

•Computer science on epidemiological models

•Deterministic and stochastic order models with non-local operators

•Non-local operator and application and physics

•Analytical and numerical methods for real-world problems

•Nonlinear dynamical complex system

•Systems analysis, simulation, design, and modelling

•Optimization Techniques

•Computer and Mathematical Modelling


Keywords

Mathematical models with integer, fractional and variable order; Analytical and Numerical methods; Approximate and exact properties of nonlinear partial differential models; Approximate Methods; Simulations of the wave distributions.

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