Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey
Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …
handwritten or printed text from scanned or printed images, converting it into a format that …
[PDF][PDF] CNN Ensemble Learning Method for Transfer learning: A Review
This study provides a review of CNN's ensemble learning method for transfer learning by
highlighting sections such as review studies, datasets, pre-trained models, transfer learning …
highlighting sections such as review studies, datasets, pre-trained models, transfer learning …
A generalized ensemble approach based on transfer learning for braille character recognition
Braille character recognition (BCR) is a basic step in building and designing any Braille
assistive technology. Each Braille character is represented by a 2× 3 matrix of raised dots …
assistive technology. Each Braille character is represented by a 2× 3 matrix of raised dots …
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 …
End-to-end tire defect detection model based on transfer learning techniques
Visual inspection of defective tires post-production is vital for human safety, as faulty tires
can lead to explosions, accidents, and loss of life. With the advancement of technology …
can lead to explosions, accidents, and loss of life. With the advancement of technology …
Convolution neural network bidirectional long short-term memory for heartbeat arrhythmia classification
RS Alkhawaldeh, B Al-Ahmad, A Ksibi… - International Journal of …, 2023 - Springer
Arrhythmia is a heart condition that poses a severe threat to life and requires prompt medical
attention. One of the challenges in detecting arrhythmias accurately is that incorrect …
attention. One of the challenges in detecting arrhythmias accurately is that incorrect …
Artificial neural network for classifying financial performance in Jordanian insurance sector
Over the past few decades, financial performance has attracted researchers' attention,
especially in the insurance sector. Insurance is a tool for the growth and sustainability of …
especially in the insurance sector. Insurance is a tool for the growth and sustainability of …
Revitalizing Arabic Character Classification: Unleashing the Power of Deep Learning with Transfer Learning and Data Augmentation Techniques
Deep learning techniques have demonstrated remarkable success in various domains,
including character classification tasks. However, the performance of deep learning models …
including character classification tasks. However, the performance of deep learning models …
Unified framework model for detecting and organizing medical cancerous images in iomt systems
RS Alkhawaldeh, S Al-Dabet - Multimedia Tools and Applications, 2024 - Springer
One of the challenges that arise when utilizing real-time reaction services, such as
constructing deep learning models within the Internet of Medical Things (IoMT) …
constructing deep learning models within the Internet of Medical Things (IoMT) …
Recognition of Persian/Arabic handwritten words using a combination of convolutional neural networks and autoencoder (AECNN)
S Khosravi, A Chalechale - Mathematical Problems in …, 2022 - Wiley Online Library
Despite extensive research, recognition of Persian and Arabic manuscripts is still a
challenging problem due to the complicated and irregular nature of writing, wide vocabulary …
challenging problem due to the complicated and irregular nature of writing, wide vocabulary …