Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …
Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey
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 …
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
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 …
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.
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 …
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
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 …
segmenting these words into individual characters are considered as one of the most critical …
[PDF][PDF] Segmentation techniques for Arabic handwritten: a review
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 …
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 …
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 …
computer science. As the technologies are growing, everyone wants advanced life, which …
Balinese Script Handwriting Recognition Using Faster R-CNN
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 …
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 …
class datasets. Supervised learning is considered to be the most advanced and mature from …