27 citations · 59 across the 6 of their papers we have counts for
6 papers
A Multi-Drone Multi-View Dataset and Deep Learning Framework for Pedestrian Detection and Tracking
Kosta Dakic, Kanchana Thilakarathna, Rodrigo N. Calheiros +1
Multi-drone surveillance systems offer enhanced coverage and robustness for pedestrian tracking, yet existing approaches struggle with dynamic camera positions and complex occlusio…
Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
Kosta Dakic, Kanchana Thilakarathna, Rodrigo N. Calheiros +1
Multiview systems have become a key technology in modern computer vision, offering advanced capabilities in scene understanding and analysis. However, these systems face critical c…
On Delay Performance in Mega Satellite Networks with Inter-Satellite Links
Kosta Dakic, Chiu Chun Chan, Bassel Al Homssi +2
Utilizing Low Earth Orbit (LEO) satellite networks equipped with Inter-Satellite Links (ISL) is envisioned to provide lower delay compared to traditional optical networks. However,…
Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals
Kosta Dakic, Bassel Al Homssi, Sumeet Walia +1
With the rapid growth of IoT networks, ubiquitous coverage is becoming increasingly necessary. Low Earth Orbit (LEO) satellite constellations for IoT have been proposed to provide…
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks
Bassel Al Homssi, Kosta Dakic, Ke Wang +6
Space communications, particularly massive satellite networks, re-emerged as an appealing candidate for next generation networks due to major advances in space launching, electroni…
HybNet: A Hybrid Deep Learning -- Matched Filter Approach for IoT Signal Detection
Kosta Dakic, Bassel Al Homssi, Margaret Lech +1
Random access schemes are widely used in IoT wireless access networks to accommodate simplicity and power consumption constraints. As a result, the interference arising from overla…