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20242026
most citedImage and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey

4 citations · 14 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024★ 1 cited

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…

cs.CV2024★ 2 cited

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…

cs.CV2024★ 2 cited

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…

hep-ph2024★ 4 cited

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…

cs.CY2024★ 2 cited

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…