Tutkijaopettaja Tuomas Eerola

E-mail: Tuomas.Eerola@lut.fi
Mobile phone: +358 504042054
ORCID ID: 0000-0003-1352-0999 (Go to ORCID profile)
CV:
Uploaded on: 24/04/2020

Current Organisation
Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Projects as Co-Investigator
Smart technologies for lifecycle perform (01/01/2015 - 30/06/2015)
Funder: Tekes



Publications
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Comparison of Co-segmentation Methods for Wildlife Photo-identification (2018)
A4 Conference proceedings
Popova Anastasia, Eerola Tuomas, Kälviäinen Heikki
Lecture Notes in Computer Science
Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Poitiers, France, September 24–27, 2018, Proceedings
Fish Detection from Low Visibility Underwater Videos (2018)
A4 Conference proceedings
Shevchenko Violetta, Eerola Tuomas, Kaarna Arto
International Conference on Pattern Recognition
2018 24th International Conference on Pattern Recognition (ICPR)
Identification of Saimaa Ringed Seal Individuals using Transfer Learning (2018)
A4 Conference proceedings
Nepovinnykh Ekaterina, Eerola Tuomas, Kälviäinen Heikki, et al.
Lecture Notes in Computer Science
Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Poitiers, France, September 24–27, 2018, Proceedings
Modeling Mass Transfer During Single Organic Droplet Formation and Rise (2018)
A1 Journal article (refereed), original research
Lahdenperä Esko, Tamminen Jussi, Koiranen Tuomas, et al.
Journal of Chemical Engineering and Process Technology
The mass transfer and coalescence time scales in binary droplet systems for copper extraction (2018)
A1 Journal article (refereed), original research
Tamminen Jussi, Lahdenperä Esko, Koiranen Tuomas, et al.
Journal of Chemical Engineering and Process Technology
Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment (2018)
A4 Conference proceedings
Kuronen Toni, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Poitiers, France, September 24–27, 2018, Proceedings
A Novel Machine Vision Based Image Analysis Method for the Analysis of Mixing Elements in Rotary Drums (2017)
A1 Journal article (refereed), original research
Koiranen Tuomas, Melanen Tuomas, Ilonen Jarmo, et al.
Chemical Engineering Communications
Automatic individual identification of Saimaa ringed seals (2017)
A1 Journal article (refereed), original research
Chehrsimin Tina, Eerola Tuomas, Koivuniemi Meeri, et al.
IET Computer Vision
CASE KONECRANES: The Crane as Process Performance Analyzer (2017)
D2 Article in a professional research book (incl. editor’s introduction)
Mesiä Heikki, Malysheva Julia, Eerola Tuomas, et al.
DIMECC Publication series
S-STEP–Smart Technologies for Lifecycle Performance, Final Report 1/2017
Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation (2017)
A4 Conference proceedings
Zafari Sahar, Eerola Tuomas, Sampo Jouni, et al.
Lecture Notes in Computer Science
Image Analysis: 20th Scandinavian Conference, SCIA 2017




Last updated on 2020-24-04 at 05:03