Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …

The emergence of generative artificial intelligence (AI), exemplified by models like ChatGPT,
presents both opportunities and challenges. As these technologies become increasingly …

Cross-domain artificial intelligence (AI) frameworks are the keys to amplify progress in
science. Cutting edge deep learning methods offer novel opportunities for retrieving …

This article analyzes the algorithms of computer vision, the features of the application of
augmented reality technology and existing software modules, frameworks and libraries. The …

This article aims to explore and research GANs as a tool for mobile devices that can
generate high-resolution images from low-resolution samples and reduce blurring. In …

The rapid development of technological advances, due to which computer algorithms for
image analysis compete with professionals in terms of accuracy, but remain unchanged in …

Cybersecurity is one of the key problems of the twenty-first century, as the digital
environment has already become equally important to the real world, and in some situations …

The paper considers the main methods of machine learning for unmanned aerial vehicle
(drone) routing, simulates an environment for testing the flight of a drone, as well as a model …

Real biometric fingerprint samples belong to the category of personal data, and therefore
their usage for deep learning model training may have certain limitations. Artificially …

Generative Adversarial Networks (GANs) are a powerful class of deep learning models that
can generate realistic synthetic data. However, designing and optimizing GANs can be a …