Khaled Bayoudh - researchr alias

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Viewing Publication 1 - 6 from 6

2025

Hybrid-CT: a novel hybrid 2D/3D CNN-Transformer based on transfer learning and attention mechanisms for small object classificationKhaled Bayoudh, Abdellatif Mtibaa. sivp, 19(1):133, January 2025. [doi]

C-Hybrid-NET: A self-attention-based COVID-19 screening model based on concatenated hybrid 2D-3D CNN features from chest X-ray imagesKhaled Bayoudh, Fayçal Hamdaoui, Abdellatif Mtibaa. mta, 84(19):21829-21861, June 2025. [doi]

Hybrid 2D CAE-3D CNN-Based Video Anomaly Detection from Spatio-Temporal CuboidsKhaled Bayoudh, Fayçal Hamdaoui, Abdellatif Mtibaa. sncs, 6(5):471, June 2025. [doi]

2024

A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challengesKhaled Bayoudh. inffus, 105:102217, May 2024. [doi]

2022

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasetsKhaled Bayoudh, Raja Knani, Fayçal Hamdaoui, Abdellatif Mtibaa. vc, 38(8):2939-2970, 2022. [doi]

2021

Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systemsKhaled Bayoudh, Fayçal Hamdaoui, Abdellatif Mtibaa. apin, 51(1):124-142, 2021. [doi]

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