| The potential of machine learning for wind speed and direction short-term forecasting: A systematic review D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Computers 12 (10), 206, 2023 | 28 | 2023 |
| On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Environmental Research Communications 6 (10), 105008, 2024 | 13 | 2024 |
| Automated aviation wind nowcasting: exploring feature-based machine learning methods D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Applied Sciences 13 (18), 10221, 2023 | 12 | 2023 |
| Time-series embeddings from language models: a tool for wind direction nowcasting D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Journal of Meteorological Research 38 (3), 558-569, 2024 | 9 | 2024 |
| Wind limitations at madeira international airport: a deep learning prediction approach D Alves, D Freitas, F Mendonça, S Mostafa, F Morgado-Dias IEEE Access 12, 61211-61220, 2024 | 8 | 2024 |
| Deep learning enhanced wind speed and direction forecasting for airport regions D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Weather and Forecasting 40 (1), 207-221, 2025 | 5 | 2025 |
| The potential of machine learning for wind speed and direction short-term forecasting: A systematic review. Computers, 12 (10), 206 D Alves, F Mendonça, SS Mostafa, F Morgado-Dias | 5 | 2023 |
| Low Tropospheric Wind Forecasts in Aviation: The Potential of Deep Learning for Terminal Aerodrome Forecast Bulletins D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Pure and Applied Geophysics 181 (7), 2265-2276, 2024 | 4 | 2024 |
| A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration D Alves, F Mendonça, SS Mostafa, F Morgado-Dias e-Prime-Advances in Electrical Engineering, Electronics and Energy 10, 100862, 2024 | 3 | 2024 |
| A computer vision approach for satellite-driven wind nowcasting over complex terrains D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Environmental Research Communications 6 (5), 055014, 2024 | 3 | 2024 |
| Intelligent visibility forecasting at airports: a systematic review D Alves, M Belo-Pereira, F Mendonça, F Morgado-Dias Environmental Research Communications, 2025 | 2 | 2025 |
| A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach D Alves, F Mendonça, SS Mostafa, D Freitas, J Pestana, D Vieira, ... PloS one 20 (1), e0316548, 2025 | 1 | 2025 |
| MARS Lander: Georeferencing Landing and Pop Points of Untethered Ocean Monitoring Systems using Fundamental Physics M Radeta, Z Behboodi, V Zekovic, D Alves, D Pestana, D Nunes, ... Deep Sea Research Part I: Oceanographic Research Papers, 104650, 2026 | | 2026 |
| A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts D Alves, F Mendonça, SS Mostafa, F Morgado-Dias Scientific Reports 15 (1), 32796, 2025 | | 2025 |
| Very short-range forecasting of wind speed and direction for air traffic operations at Madeira Airport DDM Alves, D Alves | | 2025 |
Morgado-DiasFull Professor at the University of Madeira, Interactive Technologies Institute (ITI/LARSyS)Verified email at uma.pt
