Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Le, Anh Duc"'
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 36, Iss 1, Pp 1-8 (2024)
The yttrium aluminium garnet (YAG) and sapphire materials are commonly used in laser and optical devices. Producing an ultra-precise surface quality is necessary for the application in optical devices. However, YAG and sapphire materials belong to di
Externí odkaz:
https://doaj.org/article/cc074de5659d4f3389e5b909e221f5c3
Autor:
Le, Anh Duc
Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The ubiquitousn
Externí odkaz:
http://arxiv.org/abs/2202.00795
Publikováno v:
In Journal of Advanced Joining Processes June 2024 9
Autor:
Le, Anh Duc
Recognizing the full-page of Japanese historical documents is a challenging problem due to the complex layout/background and difficulty of writing styles, such as cursive and connected characters. Most of the previous methods divided the recognition
Externí odkaz:
http://arxiv.org/abs/2005.02669
Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts. The recognition system has two main modules: text detection based on Connectio
Externí odkaz:
http://arxiv.org/abs/1905.12817
Recognition of historical documents is a challenging problem due to the noised, damaged characters and background. However, in Japanese historical documents, not only contains the mentioned problems, pre-modern Japanese characters were written in cur
Externí odkaz:
http://arxiv.org/abs/1905.05377
Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritten Text. The model composes of two parts: a DenseNet for extracting in
Externí odkaz:
http://arxiv.org/abs/1905.05381
Recognition of Handwritten Mathematical Expressions (HMEs) is a challenging problem because of the ambiguity and complexity of two-dimensional handwriting. Moreover, the lack of large training data is a serious issue, especially for academic recognit
Externí odkaz:
http://arxiv.org/abs/1901.06763
Autor:
Le, Anh Duc
Recent years have witnessed an exponential growth in data traffic over both wired and wireless links. This unabated growth in demand for data and dense network deployments mixed with limited spectralresources indicates that co-channel interference wi
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496
This paper considers the problem of recovering signals from compressed measurements contaminated with sparse outliers, which has arisen in many applications. In this paper, we propose a generative model neural network approach for reconstructing the
Externí odkaz:
http://arxiv.org/abs/1810.11335