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ORCIDM. Dolores Redel-Macías
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2020 – today
- 2024
[i1]Alessia Bisio, Enrique Yeguas-Bolivar
, Pilar Aparicio-Martínez, María Dolores Redel-Macías, Sara Pinzi, Stefano Rossi, Juri Taborri:
Training program on sign language: social inclusion through Virtual Reality in ISENSE project. CoRR abs/2401.08714 (2024)- 2023
- [c9]Alessia Bisio, Enrique Yeguas-Bolivar, Pilar Aparicio-Martínez, María Dolores Redel-Macías, Sara Pinzi, Stefano Rossi, Juri Taborri:
Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project. MetroXRAINE 2023: 104-109 - [c8]Juri Taborri, Pietro Fornai, Enrique Yeguas-Bolivar, María Dolores Redel-Macías, Marlene Hilzensauer, Alexandra Pecher, Manfred Leisenberg, Alessia Melis, Stefano Rossi:
The Use of Artificial Intelligence for Sign Language Recognition in Education: From a Literature Overview to the ISENSE Project. MetroXRAINE 2023: 122-126 - 2020
- [j5]Pilar Aparicio-Martínez, Manuel Ruiz-Rubio, Alberto-Jesús Perea-Moreno, Maria del Pilar Martínez-Jiménez, Claudia Pagliari, María Dolores Redel-Macías, Manuel Vaquero-Abellán:
Gender differences in the addiction to social networks in the Southern Spanish university students. Telematics Informatics 46 (2020)
2010 – 2019
- 2019
- [j4]Pilar Aparicio-Martínez, Maria del Pilar Martínez-Jiménez, Alberto-Jesús Perea-Moreno, Esther Vaquero-Álvarez, María Dolores Redel-Macías, Manuel Vaquero-Abellán:
Is possible to train health professionals in prevention of high-risk pathogens like the Ebola by using the mobile phone? Telematics Informatics 38: 74-86 (2019) - 2015
- [j3]María Dolores Redel-Macías, Antonio J. Cubero-Atienza, José Miguel Martínez Valle, Gerardo Pedrós Pérez, Maria del Pilar Martínez-Jiménez:
Noise and Vibration Risk Prevention Virtual Web for Ubiquitous Training. IEEE Trans. Educ. 58(4): 303-308 (2015) - 2013
- [j2]M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez:
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. Expert Syst. Appl. 40(5): 1477-1483 (2013) - [j1]María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez:
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. Neurocomputing 109: 56-65 (2013) - 2012
- [c7]M. Dolores Redel-Macías, Sara Pinzi, Antonio J. Cubero-Atienza, M. P. Dorado, Maria del Pilar Martínez-Jiménez:
Biorefinery Virtual Lab-Integrating E-learning Techniques and Theoretical Learning. CISIS/ICEUTE/SOCO Special Sessions 2012: 321-330 - [c6]M. Dolores Redel-Macías, Antonio J. Cubero-Atienza:
Improvement of Accuracy in Sound Synthesis Methods by Means of Regularization Strategies. SOCO 2012: 359-367 - 2011
- [c5]M. Dolores Redel-Macías, Pilar Martínez Jiménez, Antonio J. Cubero-Atienza:
E-Learning Applied for Training on Safety and Hygiene in Electronics Engineers Degree. CSEDU (1) 2011: 258-263 - [c4]M. Dolores Redel-Macías, Pedro Antonio Gutiérrez, Antonio J. Cubero-Atienza, César Hervás-Martínez:
Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model. SOCO 2011: 379-386 - 2010
- [c3]M. Dolores Redel-Macías, Antonio J. Cubero-Atienza, Daniel Berckmans:
Design and experimental validation of a sound source model for engine of vehicles. AICCSA 2010: 1-7 - [c2]Pilar Martínez Jiménez, Gerardo Pedrós Pérez, Antonio J. Cubero-Atienza, M. Dolores Redel-Macías, Lorenzo Salas-Morera, Laura García-Hernandez:
Telematic Training Via a Website of Technicians in Work-related Risk Prevention. CSEDU (1) 2010: 160-165
2000 – 2009
- 2009
- [c1]M. Dolores Redel-Macías, Antonio J. Cubero-Atienza, Paul Sas, Lorenzo Salas-Morera:
Algorithms for Active Noise Control. IWANN (2) 2009: 1240-1247
Coauthor Index
aka: Antonio José Cubero-Atienza
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