Olena Pavliuk

According to our database, Olena Pavliuk authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., March, 2023

Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform.

Olena Pavliuk, Myroslav Mishchuk, Christine Strauss

Algorithms, February, 2023

An approach towards AGV battery cell voltage prediction using DL and data pre-processing.

Mykola O. Medykovskyy, Rafal Cupek, Olena Pavliuk, Myroslav Mishchuk

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing.

Olena Pavliuk, Mykola O. Medykovskyy, Tomasz Steclik

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A novel Deep-Learning model for Human Activity Recognition based on Continuous Wavelet Transform.

Olena Pavliuk, Myroslav Mishchuk

Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

Analysis of the spread of COVID-19 in Ukraine using Google Trends tools.

Mykola Medykovskyy, Olena Pavliuk, Myroslav Mishchuk

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

The forecast of the AGV battery discharging via the machine learning methods.

Olena Pavliuk, Tomasz Steclik, Piotr Biernacki

Proceedings of the IEEE International Conference on Big Data, 2022

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

Proceedings of the Symposium on Information Technologies & Applied Sciences (IT&AS 2021), 2021

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

Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19, 2021

2020

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach.

Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

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

Use of Machine Learning Technologys for the Electric Consumption Forecast.

Mvkola Medykovskvi, Olena Pavliuk, Roman Sydorenko

Proceedings of the Advances in Intelligent Systems and Computing III, 2018