Use of Machine Learning Technologys for the Electric Consumption Forecast. - Mvkola Medykovskvi; Olena Pavliuk; Roman Sydorenko (CSIT (1), 2018)

Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. - Roman Tkachenko; Ivan Izonin; Pavlo Vitynskyi; Nataliia Lotoshynska; Olena Pavlyuk (Data, 2018)

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. - Ivan Izonin; Roman Tkachenko; Liliia Ryvak; Khrystyna Zub; Mariya Rashkevych; Olena Pavlyuk (IDDM, 2020)

Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. - Ivan Izonin; Roman Tkachenko; Roman Pidkostelnyi; Olena Pavliuk; Viktor Khavalko; Anatoliy Batyuk (IDDM, 2021)

An Investigation of Traffic and Optimization Opportunities of a Passenger Service System in JFK Airport. - Miloslav Chalupka; Kornelius Fuchs; Raphael Heinfling; Nikola Malesevic; Rory Traut; Olena Pavliuk (IT&AS, 2021)

The forecast of the AGV battery discharging via the machine learning methods. - Olena Pavliuk; Tomasz Steclik; Piotr Biernacki (IEEE Big Data, 2022)

Analysis of the spread of COVID-19 in Ukraine using Google Trends tools. - Mykola Medykovskyy; Olena Pavliuk; Myroslav Mishchuk (CSIT, 2022)

A novel Deep-Learning model for Human Activity Recognition based on Continuous Wavelet Transform. - Olena Pavliuk; Myroslav Mishchuk (IDDM, 2022)

Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. - Olena Pavliuk; Mykola O. Medykovskyy; Tomasz Steclik (IEEE Big Data, 2023)

An approach towards AGV battery cell voltage prediction using DL and data pre-processing. - Mykola O. Medykovskyy; Rafal Cupek; Olena Pavliuk; Myroslav Mishchuk (CSIT, 2023)

Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform. - Olena Pavliuk; Myroslav Mishchuk; Christine Strauss (Algorithms, 2023)

Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region. - Olena Pavliuk; Halyna Kolesnyk (J. Reliab. Intell. Environ., 2023)

Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics Systems Utilizing AGVs. - Olena Pavliuk; Myroslav Mishchuk (IEEE Big Data, 2024)

Approach for Smartwatch-Based Complex Human Activity Recognition in Internal Logistics Systems. - Myroslav Mishchuk; Olena Pavliuk; Mykola Medykovskyy (CSIT, 2024)

Modern Methods of Data Preprocessing to Increase the Accuracy of AGV Battery Discharge Forecast. - Olena Pavliuk; Mykola Medykovskyy; Rafal Cupek; Myroslav Mishchuk (CSIT, 2024)

A Two-Stage Feature Selection Method for Neural Network Predictive Models for AGV. - Olena Pavliuk; Myroslav Mishchuk; Mykola Medykovskyy; Rafal Cupek (SMARTINDUSTRY, 2024)