Computational Mathematics in Engineering

Proceedings of ICCMA 2025

Praveen Kumar Gupta, Subrata Bera, Hiroyuki Ohshima, Dumitru Baleanu

• Publisher: De Gruyter
• Year: 2026
• Topic: Mathematics
• eBook ISBN:
  9783112213377
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Mathematics

The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.

Table of contents

• Title Page
• Copyright
• Contents
• Frontmatter
• Contents
• Detour monophonic vertex cover pebbling number (DMVCPN) of some standard graphs
• Alleviating the need of aggregation operator in group decision-making using AHP and evaluating factors affecting the IoTs industrial implementation readiness
• Fake news detection
• Potential biomarkers for breast cancer identification using machine learning techniques
• Advances in scene text recognition: a comprehensive review of sequential transformation attention-based networks (STANs) and related approaches
• A double parametric fuzzy optimization method for solving LPP with symmetric trapezoidal uncertainty
• A new logarithm-based distance measure for Pythagorean fuzzy sets and application in decision making
• The one-sided classical fractional maximal function and the one-sided generalized fractional Morrey-type space
• A comprehensive review of mathematical models for forecasting population growth: exploring current frontiers
• A NSFD technique for an SIR model with nonlinear contact and vaccination rates influenced by media information
• Stochastic approach to a SIR model with two target classes
• Evaluating infectious disease models for pandemic prediction
• Modeling the impact of quarantined COVID-19 individuals with restrictive treatment capacity in hospitals
• Analysis of wind effect surrounding the C-shape high-rise building
• Effect of Peclet number on MIPS in a four-roll-mill flow
• Role of computation fluid dynamics (CFD) in the prediction of flow behavior inside solar air heaters
• To evaluate the aneurysm-induced hemodynamics: insights from Newtonian and non-Newtonian blood flow models
• Thermal and hydrodynamic analysis of viscoplastic flow in a channel-cavity system with temperature-dependent properties
• The influence of dual opposing electrolyte gradients on diffusiophoretic mobility of spherical colloids