4 citations · 14 across the 10 of their papers we have counts for
10 papers
Multitask Jet Analysis with Vision-Language Models: A Physics-Informed Four-Panel Representation
Lu Zhang, Rachik Soualah, Abbes Amira
The enormous recorded data at high-energy physics (HEP) colliders make the accurate identification of physics objects a bottleneck in disentangling event topologies, where machine…
An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
Dihia Falouz, Aida Douaibia, Amine Bechar +3
Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers struggle to use. This paper proposes an end-to-end agentic pipeline th…
BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition
Hamza Kheddar, Yassine Himeur, Abbes Amira
This study presents an Adaptive Transfer Learning and Thresholding-based Deep Learning Model (ATL-TDLM) for automated breathing pattern recognition using thermal imaging. Unlike co…
Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices
Youssef Elmir, Yassine Himeur, Abbes Amira
This study presents a federated learning (FL) framework for privacy-preserving electrocardiogram (ECG) classification in Internet of Things (IoT) healthcare environments. By transf…
Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations
Amine Bechar, Adel Oulefki, Abbes Amira +2
The analysis of complex building time-series for actionable insights and recommendations remains challenging due to the nonlinear and multi-scale characteristics of energy data. To…
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar +5
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or an…
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar, Youssef Elmir, Yassine Himeur +2
This review article discusses the roles of federated learning (FL) and transfer learning (TL) in cancer detection based on image analysis. These two strategies powered by machine l…
Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD
Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur +5
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop…
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey
Hamza Kheddar, Yassine Himeur, Abbes Amira +1
Nowadays, there has been a growing trend in the field of high-energy physics (HEP), in both its experimental and phenomenological studies, to incorporate machine learning (ML) and…
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities
Fodil Fadli, Yassine Himeur, Mariam Elnour +1
Anomaly detection in sport facilities has gained significant attention due to its potential to promote energy saving and optimizing operational efficiency. In this research article…