| A machine-learning-based distributed system for fault diagnosis with scalable detection quality in industrial IoT R Marino, C Wisultschew, A Otero, JM Lanza-Gutierrez, J Portilla, ... IEEE Internet of Things Journal 8 (6), 4339-4352, 2020 | 40 | 2020 |
| 3D-LIDAR Based Object Detection and Tracking on the Edge of IoT for Railway Level Crossing C Wisultschew, G Mujica, JM Lanza-Gutierrez, J Portilla IEEE Access 9, 35718-35729, 2021 | 27 | 2021 |
| Artificial vision on edge iot devices: A practical case for 3d data classification C Wisultschew, A Otero, J Portilla, E de la Torre 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS), 1-7, 2019 | 13 | 2019 |
| Characterizing deep neural networks on edge computing systems for object classification in 3D point clouds C Wisultschew, A Pérez, A Otero, G Mujica, J Portilla IEEE Sensors Journal 22 (17), 17075-17089, 2022 | 5 | 2022 |
| Synthetic LiDAR-Labeled Data Set Generation to Train Deep Neural Networks for Object Classification in IoT at the Edge C Wisultschew, R Hernández, C Pastor, J Portilla IEEE Internet of Things Journal 9 (24), 24812-24821, 2022 | 1 | 2022 |
| A Machine Learning-based Distributed System for Fault Diagnosis with Scalable Detection Quality in Industrial IoT JM Lanza Gutiérrez, M Rodrigo, C Wisultschew, A Otero, J Portilla, ... IEEE, 2020 | | 2020 |
Jorge PortillaUniversidad Politecnica de MadridVerified email at upm.es
