Artificial neural networks used in optimization problems G Villarrubia, JF De Paz, P Chamoso, F De la Prieta Neurocomputing 272, 10-16, 2018 | 247 | 2018 |
Intelligent system for lighting control in smart cities JF De Paz, J Bajo, S Rodríguez, G Villarrubia, JM Corchado Information Sciences 372, 241-255, 2016 | 135 | 2016 |
Combining multi-agent systems and wireless sensor networks for monitoring crop irrigation G Villarrubia, JF De Paz, DH De La Iglesia, J Bajo Sensors 17 (8), 1775, 2017 | 100 | 2017 |
PANGEA–Platform for Automatic coNstruction of orGanizations of intElligent Agents C Zato, G Villarrubia, A Sánchez, I Barri, E Rubión, A Fernández, ... Distributed Computing and Artificial Intelligence: 9th International ¡¦, 2012 | 97 | 2012 |
Multi-agent information fusion system to manage data from a WSN in a residential home S Rodríguez, JF De Paz, G Villarrubia, C Zato, J Bajo, JM Corchado Information Fusion 23, 43-57, 2015 | 88 | 2015 |
Smart waste collection system with low consumption LoRaWAN nodes and route optimization Á Lozano, J Caridad, JF De Paz, G Villarrubia Gonzalez, J Bajo Sensors 18 (5), 1465, 2018 | 80 | 2018 |
Resampling methods for particle filtering: identical distribution, a new method, and comparable study T Li, G Villarrubia, S Sun, JM Corchado, J Bajo Frontiers of Information Technology & Electronic Engineering 16 (11), 969-984, 2015 | 78 | 2015 |
Monitoring and detection platform to prevent anomalous situations in home care G Villarrubia, J Bajo, JF De Paz, JM Corchado Sensors 14 (6), 9900-9921, 2014 | 76 | 2014 |
Non intrusive load monitoring (nilm): A state of the art J Revuelta Herrero, Á Lozano Murciego, A López Barriuso, ... Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection-15th ¡¦, 2018 | 73 | 2018 |
Prisec: Comparison of symmetric key algorithms for iot devices DAF Saraiva, VRQ Leithardt, D de Paula, A Sales Mendes, GV González, ... Sensors 19 (19), 4312, 2019 | 67 | 2019 |
Combination of multi-agent systems and wireless sensor networks for the monitoring of cattle AL Barriuso, G Villarrubia González, JF De Paz, Á Lozano, J Bajo Sensors 18 (1), 108, 2018 | 63 | 2018 |
A multi-agent system for the classification of gender and age from images A González-Briones, G Villarrubia, JF De Paz, JM Corchado Computer Vision and Image Understanding 172, 98-106, 2018 | 52 | 2018 |
Ambient agents: embedded agents for remote control and monitoring using the PANGEA platform G Villarrubia, JF De Paz, J Bajo, JM Corchado Sensors 14 (8), 13955-13979, 2014 | 44 | 2014 |
A study of multilayer perceptron networks applied to classification of ceramic insulators using ultrasound NF Sopelsa Neto, SF Stefenon, LH Meyer, R Bruns, A Nied, LO Seman, ... Applied Sciences 11 (4), 1592, 2021 | 42 | 2021 |
An architectural multi-agent system for a pavement monitoring system with pothole recognition in UAV images LA Silva, H Sanchez San Blas, D Peral García, A Sales Mendes, ... Sensors 20 (21), 6205, 2020 | 42 | 2020 |
Self-organizing architecture for information fusion in distributed sensor networks J Bajo, JF De Paz, G Villarrubia, JM Corchado International Journal of Distributed Sensor Networks 11 (3), 231073, 2015 | 39 | 2015 |
Evaluation of text input techniques in immersive virtual environments G González, JP Molina, AS García, D Martínez, P González New Trends on Human–Computer Interaction: Research, Development, New Tools ¡¦, 2009 | 39 | 2009 |
PANGEA: a new platform for developing virtual organizations of agents C Zato, G Villarrubia, A Sánchez, J Bajo, JM Corchado International journal of artificial intelligence 11 (13), 93-102, 2013 | 33 | 2013 |
Classification of insulators using neural network based on computer vision SF Stefenon, MP Corso, A Nied, FL Perez, KC Yow, GV Gonzalez, ... IET Generation, Transmission & Distribution 16 (6), 1096-1107, 2022 | 32 | 2022 |
An algorithm to minimize energy consumption and elapsed time for IoT workloads in a hybrid architecture JCS Dos Anjos, JLG Gross, KJ Matteussi, GV González, VRQ Leithardt, ... Sensors 21 (9), 2914, 2021 | 32 | 2021 |