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Arabic text classification using convolutional neural network and genetic algorithms
D Alsaleh, S Larabi-Marie-Sainte - IEEE Access, 2021 - ieeexplore.ieee.org
Arabic documents are massively rising due to numerous contents utilized in websites, social
media, and news articles. The classification of such documents in labelled categories is a …
media, and news articles. The classification of such documents in labelled categories is a …
Arabic handwritten recognition using deep learning: A survey
N Alrobah, S Albahli - Arabian Journal for Science and Engineering, 2022 - Springer
In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …
recognize handwritten characters, but most of them are done in Latin. Recognizing …
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks
Abstract Arabic Handwritten Text Recognition (AHTR) based on deep learning approaches
remains a challenging problem due to the inevitable domain shift like the variability among …
remains a challenging problem due to the inevitable domain shift like the variability among …
Tilpdeep: a lightweight deep learning technique for handwritten transformed invariant Pashto text recognition
Pashto is the native language of Afghanistan and one of Pakistan's most essential and
regional languages. The Pashto language has a vast number of native speakers who live in …
regional languages. The Pashto language has a vast number of native speakers who live in …