Modern applications, such as autonomous vehicles, require deploying deep learning
algorithms on resource-constrained edge devices for real-time image and video processing …

This paper proposes an approach for detecting smoke in industrial production using
computer vision. The task of detecting smoke and fire can be framed as a detection problem …

The aim of this work is to identify drusen subtypes on OCT images for the diagnosis of age-
related macular degeneration. In this paper we propose a technology of drusen extraction …

Blind spot detection systems have become integral components of modern vehicle safety
systems, aiming to mitigate the risks associated with lane-changing maneuvers. However …

The article provides an in-depth analysis of Nvidia's technological evolution and its profound
impact on Machine Learning, Big Data, and Artificial Intelligence (AI) on a global scale …

Marine environments are being increasingly burdened by waste from heavy industries and
the large scale disposal of electronics and plastics into waterways that flow into the oceans …

In order to facilitate the identification of contents in production containers, a cascade
algorithm has been developed. The two stages of the algorithm are the detection of …