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[HTML][HTML] The significance of digital learning for sustainable development in the post-COVID19 world in Saudi Arabia's higher education institutions
NS Alotaibi - Sustainability, 2022 - mdpi.com
Saudi Arabia, like other countries, has established several strategies and initiatives to
support the 17 Sustainable Development Goals (SDGs). Saudi Arabia's 2030 Vision …
support the 17 Sustainable Development Goals (SDGs). Saudi Arabia's 2030 Vision …
CNN-based methods for offline arabic handwriting recognition: a review
M El Khayati, I Kich, Y Taouil - Neural Processing Letters, 2024 - Springer
Abstract Arabic Handwriting Recognition (AHR) is a complex task involving the
transformation of handwritten Arabic text from image format into machine-readable data …
transformation of handwritten Arabic text from image format into machine-readable data …
Two decades of bengali handwritten digit recognition: A survey
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition
F Haghighi, H Omranpour - Knowledge-Based Systems, 2021 - Elsevier
One of the challenges in recognizing handwritten texts is the individual style of writing. There
is the structural similarity of the different digits to each other in writing. Along with the …
is the structural similarity of the different digits to each other in writing. Along with the …
An attention-based convolutional recurrent neural networks for scene text recognition
Text recognition is critical in various domains, including driving assistance, handwriting
recognition, and aiding the visually impaired. In recent years, deep learning-based methods …
recognition, and aiding the visually impaired. In recent years, deep learning-based methods …
Ml-powered handwriting analysis for early detection of Alzheimer's disease
Alzheimer's disease (AD) is a progressive, incurable condition leading to decline of nerve
cells and cognitive functions over time. Early detection is essential for improving quality of …
cells and cognitive functions over time. Early detection is essential for improving quality of …
Handwritten digit recognition of MNIST dataset using deep learning state-of-the-art artificial neural network (ANN) and convolutional neural network (CNN)
D Beohar, A Rasool - 2021 International conference on …, 2021 - ieeexplore.ieee.org
Handwritten digit recognition is an intricate assignment that is vital for develo**
applications, in computer vision digit recognition is one of the major applications. There has …
applications, in computer vision digit recognition is one of the major applications. There has …
Pattern separation network based on the hippocampus activity for handwritten recognition
Reaching high accuracy in handwritten character recognition is an essential challenge since
it is widely used in many fields such as signature analysis and forgery detection. Recently …
it is widely used in many fields such as signature analysis and forgery detection. Recently …
[HTML][HTML] Bengalinet: A low-cost novel convolutional neural network for bengali handwritten characters recognition
Featured Application Optical Character Recognition for Handwritten Bengali Numerals,
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
Persian handwritten digit, character and word recognition using deep learning
In spite of various applications of digit, letter and word recognition, only a few studies have
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …