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Nataliya Strokina
Nataliya Strokina
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Title
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Cited by
Year
Joint estimation of bulk flow velocity and angle using a lateral line probe
N Strokina, JK Kämäräinen, JA Tuhtan, JF Fuentes-Perez, M Kruusmaa
IEEE Transactions on Instrumentation and Measurement 65 (3), 601-613, 2015
392015
Detection of bubbles as concentric circular arrangements
N Strokina, J Matas, T Eerola, L Lensu, H Kälviäinen
Machine Vision and Applications 27, 387-396, 2016
352016
Design and application of a fish-shaped lateral line probe for flow measurement
JA Tuhtan, JF Fuentes-Pérez, N Strokina, G Toming, M Musall, M Noack, ...
Review of Scientific Instruments 87 (4), 2016
252016
Estimation of flow turbulence metrics with a lateral line probe and regression
K Chen, JA Tuhtan, JF Fuentes-Pérez, G Toming, M Musall, N Strokina, ...
IEEE Transactions on Instrumentation and Measurement 66 (4), 651-660, 2017
232017
Flow feature extraction for underwater robot localization: Preliminary results
N Muhammad, N Strokina, G Toming, J Tuhtan, JK Kämäräinen, ...
2015 IEEE International Conference on Robotics and Automation (ICRA), 1125-1130, 2015
162015
Framework for developing image-based dirt particle classifiers for dry pulp sheets
N Strokina, A Mankki, T Eerola, L Lensu, J Käyhkö, H Kälviäinen
Machine vision and applications 24, 869-881, 2013
122013
Detection of curvilinear structures by tensor voting applied to fiber characterization
N Strokina, T Kurakina, T Eerola, L Lensu, H Kälviäinen
Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013
112013
Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms
B Garigipati, N Strokina, R Ghabcheloo
2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022
102022
Learning a pile loading controller from demonstrations
W Yang, N Strokina, N Serbenyuk, R Ghabcheloo, J Kämäräinen
2020 IEEE International Conference on Robotics and Automation (ICRA), 4427-4433, 2020
82020
Hydrodynamic classification of natural flows using an artificial lateral line and frequency domain features
JA Tuhtan, N Strokina, G Toming, N Muhammad, M Kruusmaa, ...
International Association for Hydro-Environment Engineering and Research …, 2015
82015
Neural network controller for autonomous pile loading revised
W Yang, N Strokina, N Serbenyuk, J Pajarinen, R Ghabcheloo, J Vihonen, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 2198-2204, 2021
72021
Adaptive classification of dirt particles in papermaking process
N Strokina, T Eerola, L Lensu, H Kälviäinen
Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011
52011
Online measurement of the bubble size distribution in medium-consistency oxygen delignification
H Mutikainen, N Strokina, T Eerola, L Lensu, H Kalviainen, J Kayhko
Appita: Technology, Innovation, Manufacturing, Environment 68 (2), 159-164, 2015
42015
Machine vision methods for process measurements in pulping
N Strokina
Lappeenranta University of Technology, 2013
42013
Semisynthetic Ground Truth for Dirt Particle Counting and Classification Methods.
N Strokina, A Mankki, T Eerola, L Lensu, J Käyhkö, H Kälviäinen
MVA, 215-218, 2011
42011
Ecohydraulic flow sensing and classification using a lateral line probe
N STROKINA, JK KÄMÄRÄINEN, M MUSALL, R CARBONELL-BAEZA, ...
Proceedings of 11th International Symposium on Ecohydraulics, 2016
32016
Visual rewards from observation for sequential tasks: Autonomous pile loading
N Strokina, W Yang, J Pajarinen, N Serbenyuk, J Kämäräinen, ...
Frontiers in Robotics and AI 9, 838059, 2022
22022
Comparison of appearance-based and geometry-based bubble detectors
N Strokina, R Juránek, T Eerola, L Lensu, P Zemčik, H Kälviäinen
Computer Vision and Graphics: International Conference, ICCVG 2014, Warsaw …, 2014
22014
Improving particle segmentation from process images with Wiener filtering
L Laaksonen, N Strokina, T Eerola, L Lensu, H Kälviäinen
Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011
22011
Constrained imitation q-learning with earth mover’s distance reward
W Yang, N Strokina, J Pajarinen, J Kamarainen
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
12022
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Articles 1–20