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Gustavo Velasco-Hernandez
Gustavo Velasco-Hernandez
IT Tralee
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Titel
Zitiert von
Zitiert von
Jahr
Deep learning vs. traditional computer vision
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, GV Hernandez, ...
Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020
14952020
Sensor and sensor fusion technology in autonomous vehicles: A review
DJ Yeong, G Velasco-Hernandez, J Barry, J Walsh
Sensors 21 (6), 2140, 2021
8932021
Autonomous driving architectures, perception and data fusion: A review
G Velasco-Hernandez, J Barry, J Walsh
2020 IEEE 16th International Conference on Intelligent Computer …, 2020
862020
Key challenges and emerging technologies in industrial IoT architectures: A review
AA Mirani, G Velasco-Hernandez, A Awasthi, J Walsh
Sensors 22 (15), 5836, 2022
842022
Deep learning vs. traditional computer vision
J Walsh, N O’Mahony, S Campbell, A Carvalho, L Krpalkova, ...
Computer Vision Conference (CVC) 2019, 2019
692019
Autonomous Navigation of mobile robots in factory environment
S Harapanahalli, NO Mahony, GV Hernandez, S Campbell, D Riordan, ...
Procedia Manufacturing 38, 1524-1531, 2019
572019
One-shot learning for custom identification tasks; a review
N O’Mahony, S Campbell, A Carvalho, L Krpalkova, GV Hernandez, ...
Procedia Manufacturing 38, 186-193, 2019
442019
Adaptive multimodal localisation techniques for mobile robots in unstructured environments: A review
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, ...
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 799-804, 2019
272019
Science and information conference
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, GV Hernandez, ...
Tokai University, 2019
232019
Advances in computer vision
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, ...
Advances in Intelligent Systems and Computing, 2019
102019
& Walsh, J.(2019, April). Deep learning vs. traditional computer vision
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, GV Hernandez, ...
Science and information conference, 128-144, 0
8
Intersection management systems and internet of things: A review
G Velasco-Hernandez, E Caicedo-Bravo, J Barry, J Walsh
2020 IEEE 16th International Conference on Intelligent Computer …, 2020
62020
Convolutional Neural Networks for 3D Vision System Data: A review
N O’Mahony, S Campbell, L Krpalkova, A Carvalho, ...
2018 12th International Conference on Sensing Technology (ICST), 160-165, 2018
62018
Deep Learning vs. Traditional Computer Vision. arXiv 2019
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, GV Hernandez, ...
arXiv preprint arXiv:1910.13796, 0
6
Deep learning versus traditional computer vision
N O’Mahony, S Campbell, A Carvalho, S Harapanahalli, ...
Science and Information Conference, 128-144, 1910
41910
IoT-based system for monitoring conditions in an industrial painting booth
G Velasco-Hemandez, AA Mirani, A Awasthi, J Walsh
2022 33rd Irish Signals and Systems Conference (ISSC), 1-6, 2022
32022
Understanding and exploiting dependent variables with deep metric learning
N O’Mahony, S Campbell, A Carvalho, L Krpalkova, ...
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021
32021
Voice control for a gripper using mel-frequency cepstral coefficients and gaussian mixture models
G Velasco-Hernandez, A Díaz-Toro
2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA …, 2015
22015
Multisensor Architecture for an Intersection Management System
GA Velasco-Hernandez
Universidad del Valle, Tech. Rep, 2019
12019
Interactive comparison tool for management of reproduction based on pregnancy rate
L Krpálková, S Burns, N O’Mahony, A Carvalho, S Campbell, ...
Proceedings of the Precision Livestock Farming, 2019
12019
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