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Roman Sulymka, Lviv Polytechnic National University, Lviv, Ukraine Dmytro Fedasyuk, Lviv Polytechnic National University, Lviv, Ukraine Abstract. The paper presents the results of pollution forecasting using ARIMA and LSTM models based on time series and neural networks. Features of the use of ARIMA and LSTM models for air pollution forecasting have been revealed. The LSTM method was found to show…

Anastasiia Vasylieva, Lviv Polytechnic National University, Lviv, Ukraine Roman Melnyk, Lviv Polytechnic National University, Lviv, Ukraine Abstract: Cloud types classification is a kind of image classification problem, which can be solved using supervised and unsupervised machine learning methods and artificial neural networks. In this research, the convolutional neural network was proposed to classify cloud images captured by the NOAA-20…

Mykola Logoyda, Lviv Polytechnic National University, Lviv, Ukraine Abstract. The paper presents a concept of a process of personalized font design using the FontLab Studio software environment. The font is based on one’s own handwriting. Keywords: font, handwritten font, personalized font, FontLab Studio Introduction The relevance of fonts as an object of research is determined by the…

Taras Voloshko, Tetiana Shestakevych, Lviv Polytechnic National University, Lviv, Ukraine Abstract – Hyper-casual games gained popularity with a simple plot and easy interaction. Developers should consider the short life of such a game, so they use game engines, which help build the basis of the game. Choosing the most relevant engine is an actual and…

Melnykova Nataliia Abstract The article covers the formalization of time-dependent and time-independent data of various origins of the investigated object, which are necessary for personalization of patient’s data in the process of seeking an individual approach to choosing a treatment strategy. This allowed to simulate the warehouse of the state of the object being studied…

Melnykova Nataliia Abstract The study was conducted on the applying of machine learning methods to search for key clusters, which made it possible to investigate individual patient characteristics, and to determine distances between cluster instances. It was suggested to determine the average distance between instances in order to find optimal performance metrics. That will determine…

Nataliia Melnykova Abstract The paper proposes the development of an approach to modelling the nature of individual morbidity based on the Big Data approach. Analysis of large amounts of data requires the definition of groups of attributes that form functional dependencies. However, in real datasets obtained from different sources, important relationships are defined only for…

Melnykova Nataliia Abstract In the advent of large volumes of data, the use of artificial intelligence methods for processing heterogeneous data, in particular medical, is becoming increasingly relevant. The article investigate the methods of Data Mining and analyses the features and results of their application to the classification of patients’ states by the results of…