Source - MKLab

Recent content on MKLab

CARMA
CARMA aims to co-create, through a user-centred iterative methodology involving a complementary set of end-users and social sciences and human (SSH) experts, a groundbreaking, modular and intuitive platform offering a complementary set of semi-autonomous and autonomous Unmanned Ground Vehicles (UGVs) capable of working in symbiosis with humans to support and supplement first responders and assist citizen in a wide range of disaster situations, including those with very low visibility. The project will build on the most advanced research results, including those from the INTREPID project, in the field of disaster robotics making them autonomous thanks to novel 3D radar-based environment mapping and analysis combined with Artificial Intelligence (AI) for enhanced path and mission planning as well as victim and threat detection.
November 12, 2024 / MKLab
Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network
D.F. Mantsis, A. Moumtzidou, I. Lioumbas, I. Gialampoukidis, A. Christodoulou, A. Mentes, S. Vrochidis , and I. Kompatsiaris, “Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network,” Remote Sensing, vol. 16(20), pp. 3913, 2024. https://doi.org/10.3390/rs16203913
October 22, 2024 / MKLab
Integrating AI and Computer Vision for Ballistic and Bloodstain Analysis in 3D Digital Forensics
E. Patsiouras, S. Kyriakou Vasileiou, S. Papadopoulos, N. I. Dourvas, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, “Integrating AI and Computer Vision for Ballistic and Bloodstain Analysis in 3D Digital Forensics” in 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, UK, October 21-23, 2024.
October 21, 2024 / MKLab
"PERIVALLON: Improved Intelligence Picture and Operational Capacities to Combat Organised Environmental Crime "
Villamor Medina, E. et al. (2025). PERIVALLON: Improved Intelligence Picture and Operational Capacities to Combat Organised Environmental Crime. In: Gkotsis, I., Kavallieros, D., Stoianov, N., Vrochidis, S., Diagourtas, D., Akhgar, B. (eds) Paradigms on Technology Development for Security Practitioners. Security Informatics and Law Enforcement. Springer, Cham. https://doi.org/10.1007/978-3-031-62083-6_16
September 30, 2024 / MKLab
Intelligent Conversational Agent for Medical Information
A. Zeltsi, M. Tsourma, A. Alexiadis, A. Mavropoulos, A. Zamichos, V. Mastoras, C. G. Kontoulis, S. Andreadis, A. Matonaki, A. Crisan, R. Segal, T. G. Stavropoulos , “Intelligent Conversational Agent for Medical Information,” in Rapp, A., Di Caro, L., Meziane, F., Sugumaran, V. (eds) Natural Language Processing and Information Systems. NLDB 2024. Lecture Notes in Computer Science, vol 14763. Springer, Cham. pp. 341–351.
September 20, 2024 / MKLab
Descriptor Impact on Multimodal 3D Retrieval
M. Pegia, B. Þ. Jónsson, A. Moumtzidou, S. Dimplaris, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, “Descriptor Impact on Multimodal 3D Retrieval”, in Content-based Multimedia Indexing (CBMI), Reykjavik, Iceland, 18-20 September 2024
September 18, 2024 / MKLab
VERGE: Simplifying Video Search for Novice Users
N. Pantelidis, M. Pegia, D. Galanopoulos, D. Georgalis, K. Apostolidis, K. Stavrothanasopoulos, A. Moumtzidou, K. Gkountakos, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “VERGE: Simplifying Video Search for Novice Users”, in Content-based Multimedia Indexing (CBMI), Reykjavik, Iceland, 18-20 September 2024
September 18, 2024 / MKLab