Chouaib Doukkali University

Physics-Informed Neural Network with Adaptive Loss Weighting for Parameterized Surface Potential Prediction on Polymeric Dielectric Interfaces

Abstract Surface charge accumulation on polymeric dielectrics is widely encountered in electronic packaging, triboelectric energy harvesting, and aerospace insulation, with direct consequences for device performance and insulation reliability. Surface potential provides an access...

EKT-XAI: an integrated framework for scalable and explainable knowledge tracing with lightweight transformers

Abstract Knowledge tracing, which models the evolution of student knowledge from interaction sequences, is fundamental to adaptive learning systems, yet existing approaches struggle to achieve scalability, computational efficiency, and interpretability simultaneously. This paper...

Regressive transfer of metacognitive writing strategies from English (L3) to Standard Arabic (L1) among trilingual university students: a quasi-experimental study

While a plethora of studies have documented the transformative effect of teaching metacognitive writing strategies (MCWSs) on students’ strategy use and writing performance within one language, the cross-linguistic transferability of this effect remains limited, particularly in i...

Development and investigation of a NiO/ZnO@PPy-modified glassy carbon electrode for electrochemical sensing of metronidazole in environmental samples: Experimental and DFT studies

Metronidazole (MTZ) is widely prescribed as an antimicrobial drug, and its extensive use in animal farming has led to its accumulation in the environment, posing significant risks to human health and the environment. In this study, nickel and zinc oxide (NiO/ZnO) composite materi...

Alpha track counting on CR-39 detectors using YOLOv8s: Model development and application

Precise counting and detection of alpha tracks on CR-39 detectors is a critical part of measuring indoor radon and thoron. Traditional software, such as ImageJ, often struggles with background artifacts and overlapping tracks. In this work, we developed a deep learning-based meth...

Valorization of Beach-Cast Biomass from the Invasive Seaweed Rugulopteryx okamurae on the Moroccan Coast: A Comparative Assessment of Extraction Conditions for Sodium Alginate Recovery

Rugulopteryx okamurae is an aggressively invasive seaweed whose proliferation along the Moroccan coastline represents both an ecological problem and an underexploited source of biomass. This work highlights the isolation of sodium alginate from R. okamurae under four combinations...

Explainable Machine Learning Model for Early Hospital Admission Prediction in the Emergency Department: A Retrospective Analysis

Early prediction of hospital admission at emergency department triage may support clinical decision-making, patient flow coordination, bed planning and resource allocation. However, external validation of admission prediction models remains limited, while missing-data handling, c...

Improving breast cancer diagnosis accuracy using effective feature selection and machine learning

Breast cancer (BC) is one of the leading causes of death among women worldwide. Early detection is crucial for saving lives and reducing mortality rates. However, the diagnostic process can be time-consuming due to the large number of features involved. Additionally, while variou...

Causal Machine Learning for Macroeconomic Forecasting Under Structural Breaks and Economic Uncertainty

Macroeconomic forecasting has become increasingly challenging in environments characterized by structural breaks, nonlinear dynamics, and elevated economic uncertainty. Traditional econometric forecasting models frequently experience substantial predictive deterioration during pe...