A review on dropout regularization approaches for deep neural networks within the scholarly domain
Dropout is one of the most popular regularization methods in the scholarly domain for
preventing a neural network model from overfitting in the training phase. Developing an …
preventing a neural network model from overfitting in the training phase. Developing an …
Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
[PDF][PDF] Arabic Optical Character Recognition: A Review.
S Alghyaline - CMES-Computer Modeling in Engineering & …, 2023 - researchgate.net
This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …
(OCR) during the last decade, which helps interested researchers know the existing …
Attention-based CNN-RNN Arabic text recognition from natural scene images
According to statistics, there are 422 million speakers of the Arabic language. Islam is the
second-largest religion in the world, and its followers constitute approximately 25% of the …
second-largest religion in the world, and its followers constitute approximately 25% of the …
Cross lingual handwritten character recognition using long short term memory network with aid of elephant herding optimization algorithm
NS Guptha, V Balamurugan, G Megharaj… - Pattern Recognition …, 2022 - Elsevier
In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …
the pattern recognition field. The handwritten digits and characters are not always of the …
Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures
W Albattah, S Albahli - Applied Sciences, 2022 - mdpi.com
Handwritten character recognition is a computer-vision-system problem that is still critical
and challenging in many computer-vision tasks. With the increased interest in handwriting …
and challenging in many computer-vision tasks. With the increased interest in handwriting …
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition
E Al-wajih, R Ghazali - Knowledge-Based Systems, 2023 - Elsevier
The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network
Currently, digital transformation has occurred in most countries in the world to varying
degrees, but digitizing business processes are complex in terms of understanding the …
degrees, but digitizing business processes are complex in terms of understanding the …
Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
Nowadays, it is important for buyers to know other customer opinions to make informed
decisions on buying a product or service. In addition, companies and organizations can …
decisions on buying a product or service. In addition, companies and organizations can …
Arabic sentiment analysis based on word embeddings and deep learning
Social media networks have grown exponentially over the last two decades, providing the
opportunity for users of the internet to communicate and exchange ideas on a variety of …
opportunity for users of the internet to communicate and exchange ideas on a variety of …