Mathematical modeling and machine learning-based optimization for enhancing biofiltration efficiency of volatile organic compounds
Biofiltration is a method of pollution management that utilizes a bioreactor containing live
material to absorb and destroy pollutants biologically. In this paper, we investigate …
material to absorb and destroy pollutants biologically. In this paper, we investigate …
A topical review on AI-interlinked biodomain sensors for multi-purpose applications
Based on their construction or working principles, biosensors, biomimetic sensors, and
bioapplicable sensors may have been understood differently, but everyone acknowledges …
bioapplicable sensors may have been understood differently, but everyone acknowledges …
Metaheuristic learning algorithms for accurate prediction of hydraulic performance of porous embankment weirs
A porous weir is an environmentally friendly structure with minimal negative environmental
impact. Due to the complex flow mechanism around porous weirs, it is difficult to provide a …
impact. Due to the complex flow mechanism around porous weirs, it is difficult to provide a …
The Evolution of Finite Element Approaches in Reaction-Diffusion Modeling
R Sharma, OP Yadav - Archives of Computational Methods in Engineering, 2025 - Springer
This paper presents a comprehensive review of finite element methods (FEMs) applied to a
diverse range of reaction-diffusion equations (RDEs). Beginning with a historical overview of …
diverse range of reaction-diffusion equations (RDEs). Beginning with a historical overview of …
ANN based optimization of nano-beam oscillations with intermolecular forces and geometric nonlinearity
In this study, we investigate the effect of Van der Waals and Casimir forces on the
mathematical model of nano-electromechanical systems (NEMS) such as nano-beam …
mathematical model of nano-electromechanical systems (NEMS) such as nano-beam …
Analysis of heat transmission in convective, radiative and moving rod with thermal conductivity using meta-heuristic-driven soft computing technique
The present study analyzes the thermal attribute of conductive, convective, and radiative
moving fin with thermal conductivity and constant velocity. The basic Darcy's model is …
moving fin with thermal conductivity and constant velocity. The basic Darcy's model is …
Predictive modeling of oil and water saturation during secondary recovery with supervised learning
In the petroleum reservoir, the secondary oil recovery (SOR) process is employed by
injecting water into wells to enhance the moment of oil toward the production wells. The …
injecting water into wells to enhance the moment of oil toward the production wells. The …
Study of rolling motion of ships in random beam seas with nonlinear restoring moment and dam** effects using neuroevolutionary technique
In this paper, a mathematical model for the rolling motion of ships in random beam seas has
been investigated. The ships' steady-state rolling motion with a nonlinear restoring moment …
been investigated. The ships' steady-state rolling motion with a nonlinear restoring moment …
On the computational study of a fully wetted longitudinal porous heat exchanger using a machine learning approach
The present study concerns the modeling of the thermal behavior of a porous longitudinal fin
under fully wetted conditions with linear, quadratic, and exponential thermal conductivities …
under fully wetted conditions with linear, quadratic, and exponential thermal conductivities …
Heat transfer analysis of nanofluid flow in a rotating system with magnetic field using an intelligent strength stochastic-driven approach
This paper investigates the heat transfer of two-phase nanofluid flow between horizontal
plates in a rotating system with a magnetic field and external forces. The basic continuity and …
plates in a rotating system with a magnetic field and external forces. The basic continuity and …