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2010 – 2019
- 2019
[c6]Niklas Karvonen, Joakim Nilsson, Denis Kleyko
, Lara Lorna Jiménez:
Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing. ICMLA 2019: 370-375- 2017
- [j1]Niklas Karvonen, Lara Lorna Jiménez, Miguel Gómez Simón, Joakim Nilsson, Basel Kikhia, Josef Hallberg:
Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency. Int. J. Comput. Intell. Syst. 10(1): 1272-1279 (2017) - 2015
- [c5]Joakim Nilsson, Johan Borg, Jonny Johansson:
Leakage current compensation for a 450 nW, high-temperature, bandgap temperature sensor. MIXDES 2015: 343-347 - [c4]Joakim Nilsson, Johan Borg, Jonny Johansson:
Single chip wireless condition monitoring of power semiconductor modules. NORCAS 2015: 1-4 - 2014
- [c3]Jens Eliasson, Pablo Punal Pereira, Henrik Mäkitaavola, Jerker Delsing, Joakim Nilsson, Joakim Gebart:
A feasibility study of SOA-enabled networked rock bolts. ETFA 2014: 1-8 - 2013
- [c2]Sergio Martin del Campo, Kim Albertsson, Joakim Nilsson, Jens Eliasson, Fredrik Sandin:
FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals. MLSP 2013: 1-6
1990 – 1999
- 1993
- [c1]Ricardo Civalero, Bengt Jonsson, Joakim Nilsson:
Validating Simulations Between Large Nondeterministic Specifications. FORTE 1993: 3-17
Coauthor Index
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