In semi-arid regions, desertification is a critical environmental degradation factor. This study analyzes land degradation and desertification vulnerability dynamics in Ningxia, China (2001–2022) using the MEDALUS framework with a Random Forest classifier. Land-cover change was significant due to ir...

Entropy optimization in the dissipative flow of a viscous liquid with a chemical species of quartic autocatalysis inside wedge geometry is investigated in this study by executing the revised Buongiorno model using numerical simulations. To demonstrate the feasibility of this approach, an illustratio...

The initial mathematical model for rabies consists of six compartments representing the human and dog populations: $S_h, I_h, V_h, S_d, I_d, V_d$. To obtain a more realistic description of rabies transmission dynamics, we extend the model by introducing two additional human compartments: Exposed ($E...

Laser Raman spectroscopy is a promising technique for real-time oil and gas detection in drilling fluids during drilling operations; however, the distribution of crude oil and its coupling with Raman spectral responses under varying temperature conditions remain insufficiently understood, which limi...

Educational Data Mining (EDM) has achieved substantial gains in predictive performance, yet many existing approaches remain centered on single-objective optimization, most often accuracy. This does not adequately reflect the multi-dimensional nature of real-world educational decision-making, which r...

This inaugural editorial presents Intelligent Computing for Engineering (ICE), a new peer-reviewed journal dedicated to advancing the integration of intelligent computational methods with engineering practice.

This study introduces a sophisticated dual-denoising framework for high-frequency momentum strategies in China's ChiNext market, integrating wavelet-based temporal filtering with isolation forest cross-sectional anomaly detection. Utilizing a comprehensive dataset of over 2 million daily observation...

Artificial intelligence (AI) is increasingly used in healthcare to support disease prediction and clinical decision-making. Traditional centralised machine learning approaches often require the aggregation of sensitive patient data into a single repository, which raises substantial privacy, ethical,...

This paper presents a deep learning-based intelligent web application for the early detection of eye diseases using retinal fundus images. The dataset used in this study consists of 4,216 retinal fundus images collected from Kaggle, representing multiple eye disease categories. Multiple deep learnin...

In industrial settings, unplanned machine downtime is a serious risk to profitability, operational effectiveness, and production. In order to predict machine breakdowns before they occur, this research offers a machine learning-based predictive maintenance framework that enables early prediction of...