Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Hamdi, Ali"'
Night time semantic segmentation is a crucial task in computer vision, focusing on accurately classifying and segmenting objects in low-light conditions. Unlike daytime techniques, which often perform worse in nighttime scenes, it is essential for au
Externí odkaz:
http://arxiv.org/abs/2407.06016
We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset is accompanied by its corresponding textual description and an audio re
Externí odkaz:
http://arxiv.org/abs/2407.05980
Facial Expression Recognition (FER) is vital for understanding interpersonal communication. However, existing classification methods often face challenges such as vulnerability to noise, imbalanced datasets, overfitting, and generalization issues. In
Externí odkaz:
http://arxiv.org/abs/2407.02361
Effective feature representations play a critical role in enhancing the performance of text generation models that rely on deep neural networks. However, current approaches suffer from several drawbacks, such as the inability to capture the deep sema
Externí odkaz:
http://arxiv.org/abs/2402.16194
Publikováno v:
Arab Gulf Journal of Scientific Research, 2023, Vol. 42, Issue 3, pp. 1080-1089.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AGJSR-01-2023-0035
Autor:
Khaoula Alia, Djamal Atia, Mohammed Laid Tedjani, Gamil Gamal Hasan, Hamdi Ali Mohammed, Salah Eddine Laouini, Mahmood M.S. Abdullah, Farid Menaa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract A novel composite material, magnetic chitosan-clay/benzoin/Fe3O4 (CS-CY/Benz/Fe3O4), was synthesized for effectively removing thionine dye (TH) from water solutions. The structural integrity and suitability of CS- CY/Benz/Fe3O4 composite for
Externí odkaz:
https://doaj.org/article/f2b04b15cdc44c4a87c1a424038612f2
Publikováno v:
Indian Journal of Vascular and Endovascular Surgery, Vol 11, Iss 2, Pp 115-119 (2024)
Objective: Endovenous therapy serves as the preferred treatment for patients with May–Thurner syndrome (MTS) who have significant symptoms. While stenting for MTS generally yields better results than for postthrombotic syndrome, it remains unclear
Externí odkaz:
https://doaj.org/article/e725228f461f45c2a52c63eb1a5fb2c6
In this paper, we propose Global Context Convolutional Network (GCCN) for visual recognition. GCCN computes global features representing contextual information across image patches. These global contextual features are defined as local maxima pixels
Externí odkaz:
http://arxiv.org/abs/2110.11664
We propose a novel approach for visual representation learning called Signature-Graph Neural Networks (SGN). SGN learns latent global structures that augment the feature representation of Convolutional Neural Networks (CNN). SGN constructs unique und
Externí odkaz:
http://arxiv.org/abs/2110.11551
Autor:
Mohammed, Hamdi Ali, Laouini, Salah Eddine, Meneceur, Souhaila, Salmi, Chaima, Husein, Maen M.
Publikováno v:
In Surfaces and Interfaces August 2024 51