This paper presents a Convolutional Neural Networks (CNN) based Unsupervised
Curriculum Learning approach for the recognition of water bodies to overcome the stated …

Massive wildfires not only in Australia, but also worldwide are burning millions of hectares of
forests and green land affecting the social, ecological, and economical situation. Widely …

Urdu optical character recognition (OCR) is a complex problem due to the nature of its script,
which is cursive. Recognizing characters of different font sizes further complicates the …

Optical Character Recognition (OCR) is a system of converting images, including text, into
editable text and is applied to various languages such as English, Arabic, and Persian …

Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …

This paper introduces a machine learning-based approach for detecting electric poles, an
essential part of power grid maintenance. With the increasing popularity of deep learning …

Chinese character generation has attracted a lot of attention due to its wide range of
applications. Mainstream methods for generating Chinese character fonts are mainly based …

Earth Observation (EO) data is crucial for understanding, managing, and conserving our
planet's ecosystem and its natural resources. This data enables humanity to monitor …

This paper presents a Convolutional Neural Networks (CNN) based Unsupervised
Curriculum Learning approach for the recognition of water bodies to overcome the stated …

Massive wildfires not only in Australia but also across the globe burn millions of hectares of
forests and green land affecting the social, ecological and economical situation worldwide …