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Artículo
Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning
(IEEE, 2023)
Electrification of transportation systems is increasing, in particular city buses raise enormous potential. Deep understanding of real-world driving data is essential for vehicle design and fleet operation. Various ...
Artículo
Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression
(MDPI, 2023)
The widespread electrification of public transportation is increasing and is a powerful way to reduce greenhouse gas (GHG) emissions. Using real-world driving data is crucial for vehicle design and efficient fleet ...
Ponencia
Red neuronal convolucional rápida sin fotogramas para reconocimientos de dígitos
(Unión Científica Internacional de Radio, 2011)
In this paper a bio-inspired six-layer convolutional network (ConvNet) non-frame based for digit recognition is shown. The system has been trained with the backpropagation algorithm using 32x32 images from the MNIST ...
Artículo
Crossing points detection in plain weave for old paintings with deep learning
(Elsevier, 2023-11)
In the forensic studies of painting masterpieces, the analysis of the support is of major importance. For plain weave fabrics, the densities of vertical and horizontal threads are used as main features, while angle ...
Artículo
Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
(MDPI, 2021-09)
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, ...