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David Tena-Gago
David Tena-Gago
Verified email at uws.ac.uk
Title
Cited by
Cited by
Year
Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles
D Tena-Gago, G Golcarenarenji, I Martinez-Alpiste, Q Wang, ...
Sensors 23 (3), 1350, 2023
82023
Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring
D Tena-Gago, Q Wang, JM Alcaraz-Calero
Internet of Things 22, 100755, 2023
52023
Digital Twin for Machine-Learning-based Vehicle CO2 Emissions Concentration Prediction in Embedded System
D Tena-Gago, M AlSelek, AC Jose M., Q Wang
International Conference on Applied Electronics 23, 6, 2023
12023
Improving autonomous vehicle automation through human-system interaction
R Fernandez Matellan, D Martin Gomez, D Tena Gago, ...
EUROSIS, 2024
2024
Transfer Learning-Enabled IoT System for Continuous Prediction of Vehicle CO2 Concentration
M Al Selek, D Tena-Gago, JM Alcaraz-Calero, Q Wang
IEEE International Smart Cities Conference (ISC2), 2023
2023
Evaluation of Level 2 Automated Driving Artificial Intelligence Readiness in Simulated Scenarios
D Tena-Gago, Q Wang, JM Alcaraz-Calero
Proceedings of the 6th ACM Computer Science in Cars Symposium, 1-8, 2022
2022
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Articles 1–6