activity
20242026
most citedTiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Thematic Working Group 5 -- Artificial Intelligence (AI) literacy for teaching and learning: design and implementation

Mary Webb, Matt Bower, Ana Amélia Carvalho +15

TWG 5 focused on developing and implementing effective strategies for enhancing AI literacy and agency of teachers, equipping them with the knowledge and skills necessary to integr…

cs.LG2026★ 1 cited

Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco

Achraf Hsain, Yahya Zaki, Othman Abaakil +2

Aquaculture, the farming of aquatic organisms, is a rapidly growing industry facing challenges such as water quality fluctuations, disease outbreaks, and inefficient feed managemen…

cs.CV2025

DeepGI: Explainable Deep Learning for Gastrointestinal Image Classification

Walid Houmaidi, Mohamed Hadadi, Youssef Sabiri +1

This paper presents a comprehensive comparative model analysis on a novel gastrointestinal medical imaging dataset, comprised of 4,000 endoscopic images spanning four critical dise…

cs.LG2025

AQUAIR: A High-Resolution Indoor Environmental Quality Dataset for Smart Aquaculture Monitoring

Youssef Sabiri, Walid Houmaidi, Ouail El Maadi +1

Smart aquaculture systems depend on rich environmental data streams to protect fish welfare, optimize feeding, and reduce energy use. Yet public datasets that describe the air surr…

cs.CV2024★ 1 cited

Point Cloud to Mesh Reconstruction: Methods, Trade-offs, and Implementation Guide

Fatima Zahra Iguenfer, Achraf Hsain, Hiba Amissa +1

Reconstructing meshes from point clouds is a fundamental task in computer vision with applications spanning robotics, autonomous systems, and medical imaging. Selecting an appropri…