artificial intelligence

A method for recognizing contours of objects in a video data stream is proposed. Data will be uploaded using a video camera in real time and object recognition will be performed. We will use the YOLO network – a method of identifying and recognizing objects in real time. Recognized objects will be recorded in a video sequence showing the contours of the objects.

Phasor diagrams are a powerful tool for  visualizing and understanding the distribution of current, voltage, and power in electrical systems. During Russia's war against Ukraine, our energy industry has become very vulnerable to enemy attacks, and therefore needs a quick and effective recovery. Energy specialists lack software tools for working with the power system, and in the period of development of artificial intelligence, creating such tools is not so difficult.

A system for recognizing objects that are captured in real time on a video camera in a noisy environment that changes to the surrounding conditions has been built. The method of filling the database for mobile military objects was studied. For object recognition, the YOLO v8 neural network is used, which allows you to track moving and identify objects that fall into the video from the video camera. This neural network makes it possible to track objects with a change in scale, during movement with obstacles.

The methods for identifying persons of interest (POI) based on mobile device data has been considered. The problem is relevant and unresolved in the activities of law enforcement, intelligence, and other agencies involved in operational search activities due to the large amount of data stored on mobile devices. Given the complexity and volume of mobile data, traditional analysis methods are often insufficiently effective.

Research focuses on developing an all-encompassing algorithm for efficiently extracting, processing, and analyz- ing data about thermometers. The examination involves the application of a branch of artificial intelligence, in particular machine learning (ML) methods, as a means of automating processes. Such methods facilitate the identification and aggregation of pertinent data, the detection of gaps, and the conversion of unstructured text into an easily analyzable structured format.

The article examines the role of international and European e-commerce organizations in the context of increasing the competitiveness of e-business in Ukraine. The analysis of trends in the development of the Ukrainian and global e-commerce market was carried out, the importance of the development of international e-commerce and advocacy bodies in accordance with the specified sector was emphasized.

The paper presents the development of a cyber-physical system based on the HomeAssistant platform for efficient automation and control of Internet of Things (IoT) devices. The architectural features, technical implementation and prospects for the development of the system are considered, with an emphasis on the ability to integrate a wide range of sensors and IoT devices into a single network to create adaptive and intelligent solutions.

We are encountering the term artificial intelligence more and more often. In everyday life, we are almost completely unaware that we come into contact with it and use it. It is found in various areas of human life. Artificial intelligence does not have comprehensive legislation to date. There are a number of states active in this area, with their own leaders. These include the United States of America, the United Kingdom and the European Union.