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The modified TAM is the most commonly used theory in existing e-learning technology studies for understanding the acceptance of e-learning. In Egypt, the most significant factors in higher education institutions were insufficient/unstable internet connectivity, inadequate computer labs, lack of computers...
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As such, in order to study natural language processing with machine learning and deep learning methods, vector or numeric representations of idiomatic statements are needed. Therefore, this research aimed at the proposed vector representation of Amharic idioms for NLP applications through vector ...
The rising prevalence of harassment in Middle Eastern countries is mirrored in literary works from the region. However, extracting data from these texts to understand the typology and frequency of the cases poses a significant challenge due to human cogn
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Crowd in a rally | Crowd Counting | Crowd Human (datacluster.ai) This dataset is an extremely challenging set of over 3000+ original Crowd images captured and crowdsourced from over 300+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals...
This study aims to develop a system for automatically correcting spelling errors in Persian texts using two approaches: one that relies on rules and a common spelling mistake list and another that uses a deep neural network. The list of 700 common misspe
Deep learning-based word embedding with text-matching models has improved the accuracy of spotting semantic similarities in recent years. However, tradi... W Xu,G Hao,X Wang,... - 《IEEE International Conference on Power Electronics & Computer Applications》 被引量: 0发表: 2023年 Algorithm ...
At one point, after 4 days processing those huge zipfiles, Windows Update decided to restart the computer… Posted on November 29, 2016Categories Artificial Intelligence Translation API We get a lot of requests for classifiers in different languages and as a next step we are building a ...