In this paper, we propose an improved version of Twin SVM using a non-smooth
optimization method. Twin SVM generally consists in determining two non-parallel planes by …

Based on the 2016 Progress in International Reading Literacy Research (PIRLS) data, this
study determined the contextual characteristics that distinguished Moroccan fourth-grade …

In this paper, we aim to study an inverse problem for determining two time-independent
coefficients in a fractional diffusion system from the final measurements. First, we prove the …

Hybrid models are a class of powerful techniques that have earned considerable interest
recently, and this is because of their ability to handle complex and highly image-denoising …

Abstract The Support Vector Machine (SVM) is a cornerstone of machine learning
algorithms. This paper proposes a novel cost-sensitive model to address the challenges of …

This paper deals with fuzzy logic controllers. Our interest is in studying different techniques
of defuzzification methods. In particular, we propose a generalization of the WABL method to …

This paper delves into addressing an inverse Cauchy problem using the primal-dual
method. This approach is motivated by the inherent challenges posed by the irregular nature …

The current study presents a new approach, for estimating the price of an American put
option under stochastic volatility, that combines the explicit finite difference method with a …

Predicting water quality accurately is critically important in real-life water resource
management. This work proposes an approach based on supervised machine learning to …

This manuscript presents a predictive model using supervised machine learning,
highlighting the importance of advanced optimization algorithms. Our approach focuses on a …