5 citations · 5 across the 5 of their papers we have counts for
5 papers
Hardware-efficient neural networks for FPGA-based radio triggering of extensive air showers
Vesselin Dimitrov, Alperen Aksoy, Ilja Bekman +7
We present a hardware-efficient hybrid trigger for FPGA-based radio detection of extensive air showers. The hybrid design consists of a lightweight denoiser that cleans raw ADC tra…
A dual-polarization whitened-template trigger for real-time radio detection of extensive air showers
Qader Dorosti, Alperen Aksoy, Ilja Bekman +7
Autonomous radio stations require a first-stage trigger that rejects measured background while preserving weak extensive-air-shower pulses under tight hardware constraints. We pres…
Hybrid neural denoising for resource-efficient near- and sub-threshold radio triggering of extensive air showers
Alperen Aksoy, Ilja Bekman, Markus Cristinziani +7
Autonomous radio self-triggering for extensive air showers requires strong rejection of radio-frequency interference while preserving weak pulses within station-level hardware cons…
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov +6
This paper examines the use of Quantized Neural Networks (QNNs) for two resource-constrained scientific applications: automated calibration of semiconductor quantum bits (qubits) a…
On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
Fabian Hader, Jan Vogelbruch, Simon Humpohl +5
In gate-defined quantum dot systems, the conductance change of electrostatically coupled sensor dots allows the observation of the quantum dots' charge and spin states. Therefore,…