Center
E.T.S.I. DE INFORMÁTICA
filter_list
Type (aggr.)
Articles
from 2020
to 2020
Electrical and Electronic Engineering
2020
-
A Proposal to Eliminate the Impact of Crosstalk on Resistive Sensor Array Readouts
IEEE Sensors Journal, Vol. 20, Núm. 22, pp. 13461-13470
-
Automated detection of presymptomatic conditions in spinocerebellar ataxia type 2 using monte carlo dropout and deep neural network techniques with electrooculogram signals
Sensors (Switzerland), Vol. 20, Núm. 11
-
Content based image retrieval by ensembles of deep learning object classifiers
Integrated Computer-Aided Engineering, Vol. 27, Núm. 3, pp. 317-331
-
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting
Neurocomputing, Vol. 398, pp. 314-327
-
Design, implementation and evaluation of a control system to optimize the performance of a permanent magnet synchronous motor (Pmsm) supplied by a stand-alone photovoltaic system without batteries
Renewable Energy and Power Quality Journal, Vol. 18, pp. 227-232
-
Improved calibration method for resistive sensors using direct interface circuits
IEEE Transactions on Instrumentation and Measurement, Vol. 69, Núm. 8, pp. 5693-5701
-
Method to Reduce Quantization Error in Direct Interface Circuits for Resistive Sensors
IEEE Sensors Journal, Vol. 20, Núm. 23, pp. 13910-13918
-
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 14173-14193
-
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution
Integrated Computer-Aided Engineering, Vol. 27, Núm. 3, pp. 233-251
-
PV panels Rs parasitic resistance degradation estimation by means of the MPPT controller modified operation: The M-factor calculation
Electronics Letters, Vol. 56, Núm. 22, pp. 1194-1197
-
Reducing measurement time in direct interface circuits for resistive sensor readout
Sensors (Switzerland), Vol. 20, Núm. 9
-
Rotation equivariant convolutional neural networks for hyperspectral image classification
IEEE Access, Vol. 8, pp. 179575-179591
-
The effect of downsampling–upsampling strategy on foreground detection algorithms
Artificial Intelligence Review, Vol. 53, Núm. 7, pp. 4935-4965