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2020 – today
- 2024
[c8]Jens Vankeirsbilck, Steven Lauwereins, Jeroen Boydens
:
Enabling Remote Software and Firmware Updates for Bogie Control and Safety Systems. EDCC 2024: 69-74- 2020
- [j5]Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail M. H. Badami, Marian Verhelst:
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification. IEEE J. Solid State Circuits 55(4): 868-878 (2020)
2010 – 2019
- 2019
- [c7]Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail M. H. Badami, Hugo Van hamme, Marian Verhelst:
18μW SoC for near-microphone Keyword Spotting and Speaker Verification. VLSI Circuits 2019: 52- - 2018
- [j4]Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst:
Optimized Hierarchical Cascaded Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 884-894 (2018) - [j3]Juan Carlos Pena Ramos, Komail M. H. Badami, Steven Lauwereins, Marian Verhelst:
A Fully Configurable Non-Linear Mixed-Signal Interface for Multi-Sensor Analytics. IEEE J. Solid State Circuits 53(11): 3140-3149 (2018) - [c6]Komail M. H. Badami, Juan Carlos Pena Ramos, Steven Lauwereins, Marian Verhelst:
Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics. ISSCC 2018: 344-346 - [i1]Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers:
A multi-layered energy consumption model for smart wireless acoustic sensor networks. CoRR abs/1812.06672 (2018) - 2017
- [c5]Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers:
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. DCASE 2017: 32-36 - 2016
- [j2]Komail M. H. Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst:
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection. IEEE J. Solid State Circuits 51(1): 291-302 (2016) - [c4]Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst:
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends. ACSSC 2016: 1027-1031 - 2015
- [j1]Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst:
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning. Neurocomputing 169: 236-245 (2015) - [c3]Komail M. H. Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst:
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector. ISSCC 2015: 1-3 - 2014
- [c2]Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst:
Context- and cost-aware feature selection in ultra-low-power sensor interfaces. ESANN 2014 - [c1]Steven Lauwereins, Wannes Meert, Jort F. Gemmeke, Marian Verhelst:
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees. MLSP 2014: 1-6
Coauthor Index
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