Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rina Buoy"'
Publikováno v:
IEEE Access, Vol 11, Pp 128044-128060 (2023)
Many existing text recognition methods rely on the structure of Latin characters and words. Such methods may not be able to deal with non-Latin scripts that have highly complex features, such as character stacking, diacritics, ligatures, non-uniform
Externí odkaz:
https://doaj.org/article/ed9b51c91500439c9b57783f8d92cef4
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 12, Iss 1, Pp 3-16 (2022)
This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer optical character recognition (OCR) task. The proposed solution uses a sequence-to-sequence (Seq2Seq) architecture with attention mechanism. The encoder
Externí odkaz:
https://doaj.org/article/13eeec17d8f74c57916a341a8643707b
Publikováno v:
Journal of Imaging, Vol 9, Iss 12, p 276 (2023)
Attention-based encoder–decoder scene text recognition (STR) architectures have been proven effective in recognizing text in the real world, thanks to their ability to learn an internal language model. Nevertheless, the cross-attention operation th
Externí odkaz:
https://doaj.org/article/48db3ac4ce6944a78f43c0ce80ab2d73
Publikováno v:
Journal of Imaging, Vol 9, Iss 11, p 248 (2023)
Connectionist temporal classification (CTC) is a favored decoder in scene text recognition (STR) for its simplicity and efficiency. However, most CTC-based methods utilize one-dimensional (1D) vector sequences, usually derived from a recurrent neural
Externí odkaz:
https://doaj.org/article/111390db972d4728b9e22d6c2daa6231
Autor:
Yulia Mironenko, Cristian Masini, Sergey Ryzhov, Denis Malakhov, Saeed Majidaie, Khalid Said Al Shuaili, Dmitry Kuzmichev, Willem Postuma, Rina Buoy, Laurent Didier Alessio
Publikováno v:
Day 1 Tue, September 17, 2019.
Unlocking the potential of existing assets and efficient production optimisation can be a challenging task from resource and technical execution point of view when using traditional static and dynamic modelling workflows making decision-making proces
Autor:
Nor Idah Kechut, Yulia Mironenko, Rina Buoy, L. Alessio, W M Zamri, Raj Deo Tewari, Abd. Azim Bin Hassan, Mohd Razib Abd Raub, Dmitry Kuzmichev, Wan Fatin Izyan
Publikováno v:
Day 3 Thu, October 19, 2017.
In stacked reservoirs with commingled production, achieving an understanding of relative contributions of the flow units is fundamental to reservoir management, most notably for conformance management of reservoirs under water flood or enhanced oil r