Oleksandra Mishchuk

Development of the Method of Forecasting the Atmospheric Air Pollution Parameters Based on Error Correction by Neural-like Structures of the Model of Successive Geometric Transformations

Oleksandra Mishchuk, 2019 .

A Non-Iterative Neural-Like Framework for Missing Data Imputation

Natalia Kryvinska, Ivan Izonin, Roman Tkachenko, 2019, Procedia Computer Science.

Development Latent Images based on Moire Effect

Oleksandra Mishchuk, Mykola Pasyeka, Oksana Troian, 2019, DCSMart.

One-step Prediction of Air Pollution Control Parameters using Neural-Like Structure Based on Geometric Data Transformations

Roman Tkachenko, Oleksandra Mishchuk, 2019, 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT).

Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure

Natalia Kryvinska, Ivan Izonin, Khrystyna Zub, 2019, EUSPN/ICTH.

SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset

Ivan Izonin, Roman Tkachenko, Oleksandra Mishchuk, 2019, IWANN.

The recommendation system for cyclists LvivBicycleMap

Vasyl Teslyuk, Taras Teslyuk, Oleksandra Mishchuk, 2019, Procedia Computer Science.

Missing Data Imputation Through SGTM Neural-Like Structure for Environmental Monitoring Tasks

Ivan Izonin, Roman Tkachenko, Oleksandra Mishchuk, 2019, Advances in Computer Science for Engineering and Education II.