(КПІ ім. Ігоря Сікорського, 2023) Makarchuk, L.; Likhouzova, T.
The problem of unsuitability of available drinking water for safe consumption is considered. It is proposed to use models built by machine learning methods so that when analyzing water samples it is possible to focus on the main parameters so that limited resources are not directed unnecessarily to less important features. To evaluate the effectiveness of the proposed models, test data that were not used to build the models and several different criteria for evaluating the quality of the models were used.
(КПІ ім. Ігоря Сікорського, 2023) Tarasonok, D.; Oliinyk, Y.; Likhouzova, T.
The problem of improving the operation of airports and air carriers is considered. It is proposed to use machine learning models and technologies to predict flight delays. Several different quality measures are used to evaluate the effectiveness of the proposed models, which diversely reflect the expediency of using these models in the context of the needs of each task.
(КПІ ім. Ігоря Сікорського, 2023) Kliuba, M.; Likhouzova, T.
The problem of communication between microcontrollers of the AVR family and other devices via Bluetooth using special modules is considered. A comprehensive solution is proposed, including a modified interaction protocol, an Arduino library that implements interaction on the microcontroller side, and a mobile application for creating interfaces that allows a user to interact with Arduino via Bluetooth.