Yurii Dubas, Lviv Polytechnic National University, Ukraine Nataliya Kunanets, Lviv Polytechnic National University, Ukraine Context. This work examines the possible influence of external factors on the student when choosing disciplines for the formation of an individual educational trajectory (IET). It has been established that the formation of IET depends not only on the student but…
COMPUTERS IN MEDICAL GOWNS: USAGE OF ARTIFICIAL INTELLIGENCE IN MEDICINE
Renata Vladyka, Lviv Polytechnic National University, Lviv, Ukraine Andrii Sydor, Lviv Polytechnic National University, Lviv, Ukraine Today, artificial intelligence is a large branch of computer science, the task of which is to create intelligent machines to perform tasks related to the use of human intelligence. The main purpose of creating artificial intelligence was to simplify the life of a person and…
ARTIFICIAL INTELLIGENCE AND ITS EVERYDAY USE
Bohdan Osmuk, Lviv Polytechnic National University, Lviv, Ukraine Andrii Sydor, Lviv Polytechnic National University, Lviv, Ukraine Artificial Intelligence is a frontier of technological advances today. It is the most promising and fastest growing area of IT. AI is crawling up into our lives imperceptibly. Ideas, that were science fiction a decade ago, are our reality now. Imagine, you wake up right…
A NOVEL SCALOGRAM-BASED MODEL FOR HUMAN ACTIVITY RECOGNITION
Olena Pavliuk, Lviv Polytechnic National University, Lviv, Ukraine Myroslav Mishchuk, Lviv Polytechnic National University, Lviv, Ukraine Abstract. Due to the advancement and pervasiveness of wearable sensors, Human Activity Recognition (HAR) has lately become the focus of scientific study. HAR has applications in various fields, including sports, fall detection and prevention, anomalous activity detection, digital health and mobile medicine. Convolutional Neural…
RESEARCH OF METHODS FOR POLLUTION FORECASTING USING TIME SERIES AND NEURAL NETWORKS
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…
CLASSIFICATION OF CLOUD TYPES ON SATELLITE IMAGES USING DEEP LEARNING
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…
FontLab Studio to design personalized font
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…
DECISION-MAKING ON GAME ENGINE FOR HYPER-CASUAL GAME DESIGNING
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…
Model of States Warehouse of a State of the State of the Object and Personalized Decisions
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…
Method for Clustering and Determining the Average Distance between Clusters
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…