Advances in computational methods and modeling for science and engineering /
Advances in Computational Methods and Modelling in Science and Engineering explores the application of computational techniques and modeling approaches in science and engineering, providing practical knowledge and skills for tackling complex problems using numerical simulations and data analysis. Th...
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, MA :
Morgan Kaufmann,
2025.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Computational methods. Exploring new travelling and solitary wave solutions of conformable fractional (3+1)-D BLMP differential equations / Waseem Razzaq and Asim Zafar ; Numerical investigation of fractional-order brain tumor growth model via Fibonacci wavelets / Firdous A. Shah, Naied A. Nayied, and Mukhtar a. Khanday ; Application of dynamical system analysis in cosmology / S.D. Pathak, Swapna Sagar Mishra, Jaskirat Kaur, and Maxim Khlopow ; Polynomial-based fractional methods of wavelets and their applications / Shah Jahan and Pooja Yadav ; A numerical study of exponential modified cubic B-spline for solving nonlinear Fisher's equation / Richa Rani, Geeta Arora, and Shubham Mishra ; Numerical simulation of symmetric regularized long wave equations arising in mathematical physics / Rachna Bhatia, Pallavi Mishra, and Susan Ishwarya A ; Comparison of exponential and trigonometric B-spline collocation technique for simulation of singular perturbed delay differential equation / Mandeep Kaur Vaid and Geeta Arora ; A systematic study on diversified Newtonian and non-Newtonian fluids via numerous mathematical techniques / Mamta Kapoor ; Computational analysis for the stress- strength on the reliability model / Prem Lata Gautam and Indu ; Instability of Casson fluid-viscous fluid interface / Mukesh Kumar Awasthi, Atul Kumar Shukla, Ashwani Kumar, Nitesh Dutt, and Dhananjay Yadav ; Remarks on nonlinear fractional differential equations / Chenkuan Li ; Exploring chaotic dynamics in a modified fractional system with Atangana-Baleanu operator / Mohamed A. Abdoon, Rania Saadeh, Mohammed Berir, and Dalal Khalid Almutairi ; Impact of viscous correction on the viscoelastic potential flow analysis of the Rayleigh-Taylor instability / Atul Kumar Shukla, Mukesh Kimar Awasthi, and Dharamendra ; Finite element modeling of MHD flow in alveolar ducts / Anju Saini and Jyoti
- Mathematical modelling and optimization. The fractional-order Lotka-Volterra competition model : an analysis with additive Allee effect / Preety Kalra, Nisha, and Sudipa Chauhan ; Modeling and analyzing delay in plant responses under toxicity / Dipesh, Pankaj Kumar, and Haci Mehmet Baskonus ; Mathematical modeling of coral-algal competition under environmental pressures in aquatic ecosystems : a review / Shreya Tangri, Jilu Abraham, and Preety Kalra
- Effect of time delay on directional and stability analysis of plant competition for allelochemicals study / Dipesh, Pankaj Kumar, Haci Mehmet Baskonus, and Armando Ciancio ; Harnessing the potentials of machine learning models in Alzheimer's disease prediction and detection / Bhanu Priya, Pranav Gupta, and Shantanu Singh ; Impact of deforestation and environmental degradation on Nipah virus outbreaks : a critical review / Dhiraj Kumar Singh, Ragesh P.R., and Sunil Kumar ; Current advances in data-driven modeling and computational tools for novel materials / Suman Rani and Divya N. Shetty ; Onset of bioconvection in the presence of magnetic nanoparticles and gyrotactic microorganisms in porous media / Mahesh Kumar Sharma and Monika Arora ; Predicting diabetes using artificial neural networks and K-nearest neighbors / Anita Baranwal and Naggari Tharakaram ; Real coded GA for finding stable structure of two small molecules / Pinkey Chauhan and Shashi Barak ; Cost optimization of a batch retrial queue with working vacation / Anchal Goyal and Shweta Upadhyaya ; Future now : unleashing the potentials of machine learning in 6G / Geeta Sharma and Bhanu Priya.