Abstract Machine Learning (ML) has revolutionized various fields, enabling the development
of intelligent systems capable of solving complex problems. However, the process of …

The multimedia content generated by devices and image processing techniques requires
high computation costs to retrieve images similar to the user's query from the database. An …

Skin diseases are among the most common and widespread diseases affecting people
around the world. Global warming and climate change are the two main factors leading to …

Recently, DNA encoding has shown its potential to store the vital information of the image in
the form of nucleotides, namely, and, with the entire sequence following run-length and GC …

Previous studies have demonstrated significant performance in the field of virus
classification; however, they focused on the classification of a small number of virus classes …

Remote sensing image object detection is a challenging task with a focus on detection
accuracy. In the object detection task of remote sensing images, scenes often contain …

Content-based image retrieval (CBIR) systems have emerged as crucial tools in the field of
computer vision, allowing for image search based on visual content rather than relying …

A trademark's image is usually the first type of indirect contact between a consumer and a
product or a service. Companies rely on graphical trademarks as a symbol of quality and …

This paper presents a novel image descriptor that enhances performance in image
recognition and retrieval by combining deep learning and handcrafted features. Our method …

We propose a multifaceted architecture for automated essay scoring integrating semantic,
thematic, and linguistic representations. Specifically, for the deep semantic content of the …