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Juan Pedro Llerena
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2020 – today
- 2023
- [c6]David Sánchez Pedroche, Daniel Amigo, Jesús García, José Manuel Molina López, Juan Pedro Llerena:
UAV airframe classification based on trajectory data in UTM collaborative environments. FUSION 2023: 1-8 - [c5]Lukas Hösch, Alonso Llorente, Xiangdong An, Juan Pedro Llerena, Daniel Medina:
High Definition Mapping for Inland Waterways: Techniques, Challenges and Prospects. ITSC 2023: 6034-6041 - [c4]Juan Pedro Llerena, Jesús García, José Manuel Molina, Daniel Arias:
Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms. SOCO (2) 2023: 44-54 - 2022
- [j3]Juan Pedro Llerena, Jesús García Herrero, José Manuel Molina López:
An approach to forecasting and filtering noise in dynamic systems using LSTM architectures. Neurocomputing 500: 637-648 (2022) - [j2]Juan Pedro Llerena, Jesús García Herrero, José Manuel Molina López:
Error Reduction in Vision-Based Multirotor Landing System. Sensors 22(10): 3625 (2022) - [c3]Juan Pedro Llerena, Jesús García Herrero, José Manuel Molina López:
Error reduction in autonomous multirotor vision-based landing system with helipad context. FUSION 2022: 1-8 - 2021
- [j1]Juan Pedro Llerena, Jesús García Herrero, José Manuel Molina López:
Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF. Sensors 21(5): 1805 (2021) - [c2]Juan Pedro Llerena, Jesús García, José Manuel Molina:
LSTM vs CNN in Real Ship Trajectory Classification. SOCO 2021: 58-67 - 2020
- [c1]Juan Pedro Llerena, Jesús García, José Manuel Molina:
An Approach to Forecasting and Filtering Noise in Dynamic Systems Using LSTM Architectures. SOCO 2020: 155-165
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