Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions

A Habbal, MK Ali, MA Abuzaraida - Expert Systems with Applications, 2024 - Elsevier
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey

S Singh, NK Garg, M Kumar - Multimedia Tools and Applications, 2023 - Springer
The character recognition system is a vital area in the field of pattern recognition. One
interesting, complex, and challenging task is handwritten character recognition because of …

An augmented reality for an arabic text reading and visualization assistant for the visually impaired

I Ouali, MB Halima, A Wali - Multimedia Tools and Applications, 2023 - Springer
Text, as one of humanity's most influential innovations, has played an important role in
shaping our lives. Reading a text is a difficult task due to several reasons factors, such as …

[PDF][PDF] Improved Javanese script recognition using custom model of convolution neural network.

A Susanto, IU Wahyu Mulyono, CA Sari… - International Journal of …, 2023 - academia.edu
Handwriting recognition in Javanese script is not widely developed with deep learning (DL).
Previous DL and machine learning (ML) research is generally limited to basic characters …

[PDF][PDF] An approach to analysis of Arabic text documents into text lines, words, and characters

HA Abdo, A Abdu, RR Manza… - Indonesian Journal of …, 2022 - academia.edu
Text line extraction from a text document image and segmenting it into isolate words and
segmenting these words into individual characters are considered as one of the most critical …

[PDF][PDF] Segmentation techniques for Arabic handwritten: a review

AA Sheikh, MS Azmi, WAK Abuain… - International Journal of …, 2024 - academia.edu
Image segmentation refers to the process of partitioning a page into distinct sections. This
technique aims to improve and transform the image's representation into a more coherent …

Application of KNN algorithm incorporating Gaussian functions in green and high-quality development of cities empowered by circular economy

Z Li, H Huang - Energy Informatics, 2024 - Springer
A growing number of industries have started to adapt to the circular economy since the
concept's introduction. Therefore, in order to accurately evaluate the development level of …

Interpreting doctor notes using handwriting recognition and deep learning techniques: a survey

N Kumar, A Chikkmath, GY BR… - … on Advances in …, 2023 - ieeexplore.ieee.org
Handwritten recognition is becoming one of the most researched areas in the field of
computer science. As the technologies are growing, everyone wants advanced life, which …

Balinese Script Handwriting Recognition Using Faster R-CNN

AA Pratama, MD Sulistiyo, AF Ihsan - Jurnal RESTI (Rekayasa …, 2023 - jurnal.iaii.or.id
In Balinese culture, the ability to read Balinese script is one of the challenges young
generations face. Advances in machine learning have proposed handwriting detection …

Performance of supervised learning algorithms on imbalanced class datasets

NAB Ramli, MJBM Jamil, NNB Zhamri… - Journal of Physics …, 2021 - iopscience.iop.org
In this paper, we measure the performance of supervised learning algorithms on imbalanced
class datasets. Supervised learning is considered to be the most advanced and mature from …