This paper presents an experimental evaluation of the fault-tolerant communication (FTCOM) layer of the DECOS integrated architecture. The FTCOM layer implements different agreemen...
Jonny Vinter, Henrik Eriksson, Astrit Ademaj, Bern...
This paper presents an experimental evaluation of a brake-by-wire application that tolerates transient faults by temporal error masking. A specially designed real-time kernel that...
Joakim Aidemark, Jonny Vinter, Peter Folkesson, Jo...
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
As technology scales and the energy of computation continually approaches thermal equilibrium [1,2], parameter variations and noise levels will lead to larger error rates at vario...
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...