In educational data mining, accurate prediction of student performance is important for supporting timely intervention for at-risk students. However, educational datasets often include irrelevant or redundant features that could reduce the performance of prediction models. To tackle this issue, this...

The paper discusses the dynamical characteristics of solutions to a model with quadratic term. More precisely, an exponential-type fuzzy difference equation is proposed as follows $$ a_{n+1}=\frac{D+Pe^{-a_n}}{T+a^2_{n-1}},\ \ n=0,1,\cdots ,$$ here $D, P, T$ and $a_0, a_{-1}$ belong to positive fuz...

Releasing amount of natural enemy generally depends on its population data, while impulsive releasing natural enemy usually brings about a time delay after the data is observed in the practical pest management. Therefore, it is very important for pest managers to assess the impact of the time delay...

This study investigates the effects of a nonlinear stretched surface in a two-dimensional Modified Eyring-Powell liquid due to a double stratified chemical reactive flow of non-Fourier heat flux. We study the flux model which is the generalized form of Fourier's classical expression with thermal rel...

Fall detection (FD) systems are an important part of healthcare monitoring, especially for elderly populations, where quick intervention can prevent serious injuries. This paper introduces an optimized YOLOV5-based framework that combines dual attention mechanisms for improved FD in real-time edge d...

Presents the introductory editorial for the inaugural issue of this title.

This study presents a comprehensive numerical investigation of the flow and heat transfer characteristics of a second-grade nanofluid in a converging/diverging channel, incorporating the significant effects of multiple slip mechanisms. The analysis considers velocity, thermal, and solutal slip condi...

This paper presents a novel hybrid copy–move forgery detection method that combines the efficiency of FAST-BRIEF (for rapid keypoint detection and binary descriptors) with the robustness of SIFT (for scale- and rotation-invariant feature matching). The proposed framework employs g2NN matching for ac...

To address the student performance problem in educational data mining, this study proposes a stacking-based RF-CatBoost model that integrates the complementary strengths of ensemble learning methods to enhance prediction accuracy and robustness. In the proposed framework, Random Forest (RF) and CatB...

The proliferation of deepfake technology poses significant threats to digital media authenticity, necessitating robust intelligent detection systems to combat manipulated content. This paper presents a novel attention-based framework for deepfake detection that systematically integrates multiple com...