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Armando Collado-Villaverde
Armando Collado-Villaverde
IT student
Verified email at uah.es
Title
Cited by
Cited by
Year
Deep neural networks with convolutional and LSTM layers for SYM‐H and ASY‐H forecasting
A Collado‐Villaverde, P Muņoz, C Cid
Space Weather 19 (6), e2021SW002748, 2021
232021
Machine learning approach to detect falls on elderly people using sound
A Collado-Villaverde, MD R-Moreno, DF Barrero, D Rodriguez
Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017
16*2017
A simulator to support machine learning-based wearable fall detection systems
A Collado-Villaverde, M Cobos, P Muņoz, D F. Barrero
Electronics 9 (11), 1831, 2020
92020
Triaxial accelerometer located on the wrist for elderly people’s fall detection
AC Villaverde, MD R-Moreno, DF Barrero, D Rodriguez
Intelligent Data Engineering and Automated Learning–IDEAL 2016: 17th …, 2016
42016
Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features
A Collado‐Villaverde, P Muņoz, C Cid
Space Weather 21 (8), e2023SW003485, 2023
32023
Classifying and bounding geomagnetic storms based on the SYM-H and ASY-H indices
A Collado-Villaverde, P Muņoz, C Cid
Natural Hazards 120 (2), 1141-1162, 2024
22024
Fall simulator for supporting supervised Machine Learning techniques in wearable devices
A Collado-Villaverde, M Cobos, P Muņoz, MD R-Moreno
2020 International Conference on INnovations in Intelligent SysTems and …, 2020
12020
A framework for evaluating geomagnetic indices forecasting models
A Collado‐Villaverde, P Muņoz, C Cid
Space Weather 22 (3), e2024SW003868, 2024
2024
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