Steven Lauwereins

Orcid: 0000-0003-0560-0577

According to our database1, Steven Lauwereins authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Enabling Remote Software and Firmware Updates for Bogie Control and Safety Systems.
Proceedings of the 19th European Dependable Computing Conference, 2024

2020
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification.
IEEE J. Solid State Circuits, 2020

2019
18μW SoC for near-microphone Keyword Spotting and Speaker Verification.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

2018
A Fully Configurable Non-Linear Mixed-Signal Interface for Multi-Sensor Analytics.
IEEE J. Solid State Circuits, 2018

Optimized Hierarchical Cascaded Processing.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

A multi-layered energy consumption model for smart wireless acoustic sensor networks.
CoRR, 2018

Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

2017
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection.
IEEE J. Solid State Circuits, 2016

Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning.
Neurocomputing, 2015

24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

2014
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Context- and cost-aware feature selection in ultra-low-power sensor interfaces.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014


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