Unfolding using deep learning and its application on pulse height analysis and pile-up management
Traditionally, electronics for pulse processing can be modeled as linear transfer functions. In
contrast, due to the fact that artificial Neural Networks (NNs) are generally non-linear …
contrast, due to the fact that artificial Neural Networks (NNs) are generally non-linear …
[HTML][HTML] Trajectory determination at Muon Impact Tracer and Observer (MITO) using artificial neural networks
We propose a method for the determination of the impact point of muons in each of the two
detection planes of the Muon Impact Tracer and Observer (MITO) telescope, which is part of …
detection planes of the Muon Impact Tracer and Observer (MITO) telescope, which is part of …
Three topologies of deep neural networks for pulse height extraction
Pulse shaping is a common technique for optimizing signal-to-noise ratio (SNR) in particle
detectors. Although analog or digital linear shapers are typically used for this purpose, there …
detectors. Although analog or digital linear shapers are typically used for this purpose, there …
Attitude Signals Filtering Algorithm Based on Kalman and LSTM for Measurement While Drilling in Coal Mine
C Wu, G Zhao, Q Hu, S Zhao, R Gao - Proceedings of the 2023 6th …, 2023 - dl.acm.org
In the drilling system of coal mine, due to the various spatial obstacles of the drilling site, the
fading of communication, the strong vibration of the drilling equipment during operation, and …
fading of communication, the strong vibration of the drilling equipment during operation, and …
[PDF][PDF] Part A. PERSONAL INFORMATION
B Part - 2006 - ucm.es
My research work in Neuroscience has been focused on the study of the molecular basis of
neurodegenerative diseases. Since 2002 I lead a research group at the Centro de Biología …
neurodegenerative diseases. Since 2002 I lead a research group at the Centro de Biología …