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ORCIDAlberto Peña Fernández
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2020 – today
- 2024
[j5]Florian Debruyne
, Jade Bokma, Tom Staessens, Alberto Peña Fernández, Daniel Berckmans, Bart Pardon, Glenn Van Steenkiste:
Technical Report: Development and validation of continuous monitoring system for calves based on commercially available sensor for humans. Comput. Electron. Agric. 219: 108765 (2024)- 2023
- [c2]Fabio Alexander Storm, Luca Negri, Claudia Carissoli, Alberto Peña Fernández, Carla Dei, Marta Bassi, Daniel Berckmans, Antonella Delle Fave:
Quality of Experience and Mental Energy Use of Cobot Workers in Manufacturing Enterprises. HCI (18) 2023: 444-458 - 2021
- [j4]Dong Liu, Erik Vranken, Gijs van den Berg, Lenn Carpentier, Alberto Peña Fernández, Dongjian He, Tomas Norton:
Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies. Comput. Electron. Agric. 182: 106009 (2021) - [c1]Matteo Lavit Nicora, Elisabeth André, Daniel Berkmans, Claudia Carissoli, Tiziana D'Orazio, Antonella Delle Fave, Patrick Gebhard, Roberto Marani, Robert Mihai Mira, Luca Negri, Fabrizio Nunnari, Alberto Peña Fernández, Alessandro Scano, Gianluigi Reni, Matteo Malosio:
A human-driven control architecture for promoting good mental health in collaborative robot scenarios. RO-MAN 2021: 285-291 - 2020
- [j3]Ali Youssef, Alberto Peña Fernández, Laura Wassermann, Svenja Biernot, Eva-Maria Wittauer, André Bleich, Joerg Hartung, Daniel Berckmans, Tomas Norton:
An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs. Sensors 20(15): 4251 (2020)
2010 – 2019
- 2019
- [j2]Alberto Peña Fernández, Tomas Norton, Ali Youssef, Vasileios Exadaktylos, Claudia Bahr, E. Bruininx, Erik Vranken, Daniel Berckmans:
Real-time modelling of individual weight response to feed supply for fattening pigs. Comput. Electron. Agric. 162: 895-906 (2019) - 2017
- [j1]T. Van Hertem, L. Rooijakkers, Dries Berckmans, Alberto Peña Fernández, Tomas Norton, Daniel Berckmans, Erik Vranken:
Appropriate data visualisation is key to Precision Livestock Farming acceptance. Comput. Electron. Agric. 138: 1-10 (2017)
Coauthor Index
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