Taha Bouhsine

According to our database, Taha Bouhsine authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Atmospheric visibility estimation: a review of deep learning approach.

Kabira Ait Ouadil, Soufiane Idbraim, Taha Bouhsine, Nidhal Carla Bouaynaya, Husam Alfergani, Charles Cliff Johnson

Multim. Tools Appl., April, 2024

Deep Learning 2.0: Artificial Neurons That Matter - Reject Correlation, Embrace Orthogonality.

Taha Bouhsine

CoRR, 2024

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning.

Taha Bouhsine, Imad El Aaroussi, Atik Faysal, Wang Huaxia

CoRR, 2024

2022

Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach.

Taha Bouhsine, Soufiane Idbraim, Nidhal Carla Bouaynaya, Husam Alfergani, Kabira Ait Ouadil, Charles Cliff Johnson

Proceedings of the 9th International Conference on Wireless Networks and Mobile Communications, 2022