The use of computer vision techniques to address the task of image retrieval is known as a Content-Based Image Retrieval (CBIR) system. It is a system designed to locate and retrieve the appropriate digital image from a large database by utilizing a query image. Over the last few years, machine learning algorithms have achieved impressive results in image retrieval tasks due to their ability to learn from large amounts of diverse data and improve their accuracy in image recognition and retrieval. Our team has developed a CBIR system that is reinforced by two machine
This paper is devoted to the problem of choosing the optimal design variant of communication systems, taking into account at a formalized level a set of conflicting requirements and a set of quality indicators. The article proposes to use the methods of multicriteria optimization to select the best options for communication systems: the method of discrete selection by the unconditional criterion of preference and the method based on the theory of utility.
Proposed method of optimization of rehabilitation therapy plans using a genetic algorithm. For evaluation of alternatives generated during the optimization process, a fuzzy algorithm with neuro defazification – T-Controller, was used. Developed method tested on samples based on real plans of rehabilitation therapy.