Sidi Mohamed Ben Abdellah University

Adsorptive removal of crystal violet using chemically activated biowaste: Molecular insights from DFT and molecular dynamics simulations and experimental assessment

In this study, we explore the removal of crystal violet (CV), a cationic organic dye, by adsorption utilizing a biomass-derived material made from date pits, which provides a novel class of cost-effective and efficient adsorbents for CV removal. The synthesized material's structu...

GraphRAG-ADR: a knowledge graph–enhanced approach for extracting Adverse Drug Reactions (ADRs) from patient narratives

Adverse Drug Reaction (ADR) extraction from patient narratives is a challenging problem due to informal language, high lexical variability, and the gap between colloquial expressions and standardized medical terminology. Although large language models (LLMs) have improved extract...

Energy efficiency of miscanthus insulation for building walls in various world climates

The building sector is a major contributor to global energy consumption, highlighting the need for efficient and sustainable insulation materials. This study investigates the thermal and energy performance of miscanthus-based bio-sourced insulation applied to exterior building wa...

Log-transformed Red-Tailed Hawk optimization for single-diode photovoltaic parameter extraction

Accurate extraction of the five parameters of the single-diode photovoltaic equivalent-circuit model is hampered by the nine-orders-of-magnitude dynamic range of the diode saturation current I 0 , which can cause gradient-free optimisers to converge to degenerate solutions when I...

Performance of selected North African barley genotypes based on agro-morphological and physiological traits under field conditions in Morocco

As climate change accelerates, the impact on barley production, particularly in water-limited regions, is becoming more pronounced. This study assesses the physiological and agronomic responses of nine barley genotypes from Morocco, Egypt, and Tunisia under rainfed conditions acr...

Relation-Consistency Group Contrastive Learning for Robust Multispectral Remote Sensing Classification

Multispectral remote sensing classification benefits from the complementary information carried by visible (VIS), near-infrared (NIR), and short-wave infrared (SWIR) Sentinel-2 bands, yet most deep models process them as a single stacked tensor without explicitly preserving their...

Semantically conditioned hyperchaotic encryption for medical images: U-Net and SHA-256 key binding against chosen plaintext attacks

Abstract Existing hyperchaotic medical image encryption schemes derive all chaotic initial conditions solely from statistical features of deep-learning-segmented anatomical regions, creating a structural chosen-plaintext-attack (CPA) vulnerability: images with similar segmentatio...