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AMT - Comparison of methods to derive radial wind speed from a continuous- wave coherent lidar Doppler spectrum
Frontiers A neural network approach to the estimation of in-water attenuation to absorption ratios from PACE mission measurements
Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia - Aerosol and Air Quality Research
Wind inflow observation from load harmonics via neural networks: A simulation and field study - ScienceDirect
Wind inflow observation from load harmonics via neural networks: A simulation and field study - ScienceDirect
A Deep Learning–Based Approach for Empirical Modeling of Single-Point Wave Spectra in Open Oceans in: Journal of Physical Oceanography Volume 53 Issue 9 (2023)
Smart multi-step deep learning model for wind speed forecasting
Ocean Surface Wind Estimation From Waves Based on Small GPS Buoy Observations in a Bay and the Open Ocean - Shimura - 2022 - Journal of Geophysical Research: Oceans - Wiley Online Library
Frontiers Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling
AMT - On the estimation of boundary layer heights: a machine learning approach
The pdfs based on the HW and lidar measurements together with the
Deep learning approach for wind speed forecasts at turbine locations in a wind farm - Kou - 2020 - IET Renewable Power Generation - Wiley Online Library