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Olena Pavliuk
Person information
- affiliation: Lviv Polytechnic National University, Ukraine
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2020 – today
- 2024
- [c10]Olena Pavliuk, Myroslav Mishchuk, Mykola Medykovskyy, Rafal Cupek:
A Two-Stage Feature Selection Method for Neural Network Predictive Models for AGV. SMARTINDUSTRY 2024: 122-137 - 2023
- [j3]Olena Pavliuk
, Myroslav Mishchuk
Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform. Algorithms 16(2): 77 (2023) - [j2]Olena Pavliuk
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. J. Reliab. Intell. Environ. 9(1): 17-26 (2023) - [c9]Olena Pavliuk, Mykola O. Medykovskyy, Tomasz Steclik:
Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. IEEE Big Data 2023: 5087-5096 - [c8]Mykola O. Medykovskyy, Rafal Cupek, Olena Pavliuk
An approach towards AGV battery cell voltage prediction using DL and data pre-processing. CSIT 2023: 1-4 - 2022
- [c7]Olena Pavliuk
The forecast of the AGV battery discharging via the machine learning methods. IEEE Big Data 2022: 6315-6324 - [c6]Mykola Medykovskyy, Olena Pavliuk
Analysis of the spread of COVID-19 in Ukraine using Google Trends tools. CSIT 2022: 322-326 - [c5]Olena Pavliuk, Myroslav Mishchuk:
A novel Deep-Learning model for Human Activity Recognition based on Continuous Wavelet Transform. IDDM 2022: 236-245 - 2021
- [c4]Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk:
Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM 2021: 223-232 - [c3]Miloslav Chalupka, Kornelius Fuchs, Raphael Heinfling, Nikola Malesevic, Rory Traut, Olena Pavliuk:
An Investigation of Traffic and Optimization Opportunities of a Passenger Service System in JFK Airport. IT&AS 2021: 77-86 - 2020
- [c2]Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk:
Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. IDDM 2020: 209-218
2010 – 2019
- 2018
- [j1]Roman Tkachenko
Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data 3(4): 46 (2018) - [c1]Mvkola Medykovskvi, Olena Pavliuk
Use of Machine Learning Technologys for the Electric Consumption Forecast. CSIT (1) 2018: 432-435
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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