Correct identification and categorization of plant diseases are crucial for ensuring the safety
of the global food supply and the overall financial success of stakeholders. In this regard, a …

Handwritten character recognition (HCR) involves identifying characters in images,
documents, and various sources such as forms surveys, questionnaires, and signatures, and …

Recognizing Arabic handwritten characters (AHCR) poses a significant challenge due to the
intricate and variable nature of the Arabic script. However, recent advancements in machine …

Recognizing handwritten scripts by machine learning has a tremendous number of
applications in the automation of industry. Moreover, the datasets for such kind of …

The growing use of digital technologies across various sectors and daily activities has made
handwriting recognition a popular research topic. Despite the continued relevance of …

The Arabic language is one of the six most important languages in the world. Because more
than 420 million people worldwide use the Arabic script, research into the recognition of …

This study aims to develop an application to recognize and predict handwriting using a
Convolutional Neural Network (CNN) with ResNet50 architecture. The software …

Learning the Hijaiyah letters is an important basis because in learning the Qur'an, these
abilities must be mastered before they can be introduced and taught to children. However …

Few-shot learning (FSL) offers a promising solution for classification tasks with limited
labeled examples, offering a valuable solution for languages with limited annotated …

Vehicle license plate detection and recognition have become increasingly important in
applications such as parking management, road monitoring, and traffic regulation. The …