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pro vyhledávání: '"Hussain, Khaled"'
Captioning images is a challenging scene-understanding task that connects computer vision and natural language processing. While image captioning models have been successful in producing excellent descriptions, the field has primarily focused on gene
Externí odkaz:
http://arxiv.org/abs/2308.03767
Artificial Neural Network (ANN) based techniques have dominated state-of-the-art results in most problems related to computer vision, audio recognition, and natural language processing in the past few years, resulting in strong industrial adoption fr
Externí odkaz:
http://arxiv.org/abs/1906.08864
Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges. One of the biggest promises of deep neural networks has been the convergence and automation of
Externí odkaz:
http://arxiv.org/abs/1812.11894
Publikováno v:
In Computers and Electrical Engineering May 2022 100
Autor:
Afifi, Mahmoud, Hussain, Khaled F.
In spite of the high accuracy of the existing optical mark reading (OMR) systems and devices, a few restrictions remain existent. In this work, we aim to reduce the restrictions of multiple choice questions (MCQ) within tests. We use an image registr
Externí odkaz:
http://arxiv.org/abs/1711.00972
Publikováno v:
In Pattern Recognition December 2020 108
Publikováno v:
In Operations Research Perspectives 2019 6
Autor:
Hussain, Khaled Said
The stability of arch and shell structures with random imperfections subjected to random loading is investigated. Arches are analyzed under different types of transverse loads while axial and/or pressure loading are considered for cylindrical shells.
Externí odkaz:
http://hdl.handle.net/1911/16932
Autor:
Hussain, Khaled Said
A comprehensive study is made of two types of sandwich plates under normal loads applied to their faces. The plates are composed of two plate facings separated by, and laser-welded to, either corrugated sheets or standard I-beams. The objective of th
Externí odkaz:
http://hdl.handle.net/1911/13740
Publikováno v:
In Clinical Lymphoma, Myeloma and Leukemia October 2022 22 Supplement 2:S190-S190