3 papers
cs.LG2024
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse +3
As telecommunication systems evolve to meet increasing demands, integrating deep neural networks (DNNs) has shown promise in enhancing performance. However, the trade-off between a…
cs.CV2024
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele, Tycho Bot, Rob van der Mei +2
Encryption on the internet with the shift to HTTPS has been an important step to improve the privacy of internet users. However, there is an increasing body of work about extractin…
math.OC2023
Future-proof ship pipe routing: navigating the energy transition
Berend Markhorst, Joost Berkhout, Alessandro Zocca +2
The maritime industry must prepare for the energy transition from fossil fuels to sustainable alternatives. Making ships future-proof is necessary given their long lifetime, but it…