Publications

Enhancing multi-class prediction of skin lesions with feature importance assessment
Agnė Paulauskaitė-Tarasevičienė, Kristina Šutienė, Nojus Dimša, Skaidra Valiukevičienė
International Journal of Applied Mathematics and Computer Science, Vol 34, issue 4, Sciendo, December, 2024.
DOI: https://doi.org/10.61822/amcs-2024-0041
WoS Quartile: Q2
Affiliated Institutions: KTU & LSMU


A Robust Blood Vessel Segmentation Technique for Angiographic Images Employing Multi-Scale Filtering Approach
Agnė Paulauskaitė-Tarasevičienė, Julius Šiaulys, Antanas Jankauskas, Gabrielė Jakuškaitė
Journal of Clinical Medicine, Vol. 14, iss. 2, art. no. 354, MDPI, 8 January 2025.
DOI: https://doi.org/10.3390/jcm14020354
WoS Quartile: Q1
Affiliated Institutions: KTU & LSMU


Advancements in Remote Photoplethysmography
Linas Saikevičius, Vidas Raudonis, Agnė Kozlovskaja-Gumbrienė, Gintarė Šakalytė
Electronics, Vol. 14, issue 5, no. 1015, MDPI, March, 2025.
DOI: https://doi.org/10.3390/electronics14051015

WoS Quartile: Q2
Affiliated Institutions: KTU & LSMU


Keypoint-based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System
Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Darius Andriukaitis
Agriculture, Vol. 14, issue. 11, art. no. 1890, MDPI, October, 2024.
DOI: https://doi.org/10.3390/agriculture14111890
WoS Quartile: Q1
Affiliated Institutions: VILNIUS-TECH & KTU


Occupancy-Based Predictive AI-Driven Ventilation Control for Energy Savings in Office Buildings
Violeta Motuzienė, Jonas Bielskus, Rasa Džiugaitė-Tumėnienė, Vidas Raudonis
Sustainability, Vol. 17, Issue 9, art. no. 4140, MDPI, May, 2025.
DOI: https://doi.org/10.3390/su17094140
WoS Quartile: Q2
Affiliated Institutions: VILNIUS-TECH & KTU

The project is co-funded under the European Union’s Horizon Europe programme under Grant Agreement No. 101059903 and under the European Union Funds’ Investments 2021–2027 (project No. 10-042-P-0001).