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ORCIDLesia I. Mochurad
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- affiliation: Lviv Polytechnic National University, Ukraine
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2020 – today
- 2024
[j8]Lesia I. Mochurad, Andrii Sydor, Oleh Ratinskiy
:
A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services. Frontiers Big Data 6 (2024)- [j7]Lesia I. Mochurad:
Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology. Frontiers Robotics AI 11 (2024) - [c28]Lesia I. Mochurad, Viktoriia Babii, Michal Gregus:
Machine Learning Models for the Recognition of Commands in Smart Home Technologies. SMARTINDUSTRY 2024: 70-87 - 2023
- [j6]Lesia I. Mochurad, Yaroslav Hladun, Roman Tkachenko:
An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data. Big Data Cogn. Comput. 7(1): 43 (2023) - [j5]Lesia I. Mochurad, Yaroslav Hladun, Yevgen Zasoba, Michal Gregus:
An Approach for Opening Doors with a Mobile Robot Using Machine Learning Methods. Big Data Cogn. Comput. 7(2): 69 (2023) - [c27]Lesia I. Mochurad, Yulianna Mochurad:
Parallel Algorithms for Interpolation with Bezier Curves and B-Splines for Medical Data Recovery. IDDM 2023: 189-197 - [c26]Lesia I. Mochurad, Vitalii Savchyn, Oleksandr Kravchenko:
Recognition of Explosive Devices Based on the Detectors Signal Using Machine Learning Methods. IntelITSIS 2023: 249-260 - [c25]Lesia I. Mochurad, Roman Bliakhar, Nataliia Reverenda:
Identification and Tracking of Unmanned Aerial Vehicles Based on Radar Data. MoMLeT+DS 2023: 171-181 - [c24]Lesia I. Mochurad, Ostap-Vasyl Matviiv, Halyna Lema, Roksolana Vilhutska:
CUDA-Based Algorithm for Lidar Position Determination in Mobile Robotics. MoMLeT+DS 2023: 193-203 - [c23]Lesia I. Mochurad, Bohdan Herasym:
Trash detection on the floor with IntelRealSense. ProfIT AI 2023: 107-116 - 2022
- [j4]Lesia I. Mochurad:
Canny Edge Detection Analysis Based on Parallel Algorithm, Constructed Complexity Scale and CUDA. Comput. Informatics 41(4): 957-980 (2022) - [c22]Lesia I. Mochurad, Roman Bliakhar:
Comparison of the Efficiency of Parallel Algorithms KNN and NLM Based on CUDA for Large Image Processing. CMIS 2022: 238-249 - [c21]Lesia I. Mochurad, Halyna Lema, Roksolana Vilhutska:
Parallel Algorithms Assessment Usage of Image's Segmentation Quality in Medicine. COLINS 2022: 1509-1519 - [c20]Lesia I. Mochurad, Natalya Kustra:
Modeling the Distribution of Infectious Diseases Using Parallel Calculations. IntelITSIS 2022: 442-457 - 2021
- [j3]Lesia I. Mochurad, Yaroslav Hladun:
Modeling of Psychomotor Reactions of a Person Based on Modification of the Tapping Test. Int. J. Comput. 20(2): 190-200 (2021) - [j2]Lesia I. Mochurad, Natalia Kryvinska:
Parallelization of Finding the Current Coordinates of the Lidar Based on the Genetic Algorithm and OpenMP Technology. Symmetry 13(4): 666 (2021) - [c19]Lesia I. Mochurad:
Optimization of Regression Analysis by Conducting Parallel Calculations. COLINS 2021: 982-996 - [c18]Lesia I. Mochurad, Andrii Dereviannyi, Uliana Antoniv:
Classification of X-Ray Images of the Chest Using Convolutional Neural Networks. IDDM 2021: 269-282 - [c17]Lesia I. Mochurad, Glib Shchur:
Parallelization of Cryptographic Algorithm Based on Different Parallel Computing Technologies. IT&AS 2021: 20-29 - 2020
- [c16]Lesia I. Mochurad, Nataliya Boyko, Vasyl Sheketa:
Parallelization of the Method of Simulated Annealing when Solving Multicriteria Optimization Problems. COAPSN 2020: 12-24 - [c15]Lesia I. Mochurad, Nataliya Boyko, Vasyl Sheketa:
Parallelization of the Process of Calculating the Optimal Route for a Strike Aircraft Flight. COAPSN 2020: 63-75 - [c14]Lesia I. Mochurad, Nataliya Boyko, Nataliia Petryshyn, Myroslava Potokij, Mariia Yatskiv:
Parallelization of the Simplex Method Based on the OpenMP Technology. COLINS 2020: 936-951 - [c13]Lesia I. Mochurad, Nataliya Boyko, Maryana Bortnikova:
Parallel Approach of the Algorithm of Finding the Optimal Solution of the Transport Problem by the Method of Potentials. COLINS 2020: 952-963 - [c12]Nataliya Boyko, Lesia I. Mochurad, Iryna Stetsiv, Yurii Kryvenchuk:
Modeling of the Information System for Processing of a Large Distilled Data for the Investigation of Competitiveness of Enterprises. COLINS 2020: 964-978 - [c11]Lesia I. Mochurad, Mariia Yatskiv:
Simulation of a Human Operator's Response to Stressors under Production Conditions. IDDM 2020: 156-169
2010 – 2019
- 2019
- [c10]Roman Kaminskyi, Lesia I. Mochurad, Nataliya Shakhovska, Nataliya Melnykova:
Calculation of the Exact Value of the Fractal Dimension in the Time Series for the Box-Counting Method. ACIT 2019: 248-251 - [c9]Lesia I. Mochurad, Nataliya Boyko, Natalia Stanasiuk:
Forecasting Stock Prices and Accounting for Stock Market on Multicore Computers. CMiGIN 2019: 276-289 - [c8]Lesia I. Mochurad, Khrystyna Shakhovska, Sergio Montenegro:
Parallel Solving of Fredholm Integral Equations of the First Kind by Tikhonov Regularization Method Using OpenMP Technology. CSIT 2019: 25-35 - [c7]Lesia I. Mochurad, Nataliya Boyko:
Solving Systems of Nonlinear Equations on Multi-core Processors. CSIT 2019: 90-106 - [c6]Nataliya Boyko, Lesia I. Mochurad, Uliana Parpan, Oleh Basystiuk:
Usage of Machine-based Translation Methods for Analyzing Open Data in Legal Cases. CybHyg 2019: 328-338 - [c5]Nataliya Boyko, Lesia I. Mochurad, Oksana Chervinska:
Cost-Effective Use of Mathematical Methods for the Organization and Management of Data in the Cloud. CybHyg 2019: 444-457 - [c4]Nataliya Boyko, Lesia I. Mochurad, Iryna Andrusiak, Yurii Drevnytskyi:
Organizational and Legal Aspects of Managing the Process of Recognition of Objects in the Image. CybHyg 2019: 571-592 - [c3]Nataliya Boyko, Khrystyna Shakhovska, Lesia I. Mochurad, Jaime Campos:
Information System of Catering Selection by Using Clustering Analysis. DCSMart 2019: 94-106 - [c2]Nataliya Boyko, Maxim Kuba, Lesia I. Mochurad, Sergio Montenegro:
Fractal Distribution of Medical Data in Neural Network. IDDM 2019: 307-318 - [c1]Lesia I. Mochurad, Albota Solomiia:
Optimizing the Computational Modeling of Modern Electronic Optical Systems. ISDMCI 2019: 597-608
2000 – 2009
- 2009
- [j1]Lesia I. Mochurad, Yaroslav S. Harasym, Borys A. Ostudin:
Maximal using of Specifics of some boundary Problems in potential Theory after their numerical Analysis. Int. J. Comput. 8(2): 149-156 (2009)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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