Felipe M. Moreno

Universidade Politecnica — MZ

Earth and Planetary Sciences · Physical Sciences

3h-index27citations23works1.42yr avg
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Research Topics

Oceanographic and Atmospheric Processes(4), Hydrological Forecasting Using AI(4), Time Series Analysis and Forecasting(4), Meteorological Phenomena and Simulations(3), Model Reduction and Neural Networks(3)

Publications23 total

Improving current forecast by Leveraging Measured Data and numerical models via LiESNs
Environmental Modelling & Software·2025
Investigation of the Challenges of Offshore Wind in Ultradeep Water
2024· 1 citedOpen Access
A Neural Operator for the Estimation of Wave Heights From Wind Data
2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 5 citedOpen Access
A Physics-Informed Neural Operator for the Simulation of Surface Waves
Journal of Offshore Mechanics and Arctic Engineering·2024· 1 cited
Modeling Oceanic Variables With Graph-Guided Networks for Irregularly Sampled Multivariate Time Series
2023
Echo State Networks for Surface Current Forecasting in a Port Access Channel
2023
A Physics-Informed Neural Operator for the Simulation of Surface Waves
2023· 1 cited
Automatic Clustering of Metocean Conditions on the Brazilian Coast
Journal of Offshore Mechanics and Arctic Engineering·2023· 2 cited
Vessel-Fender Contact Force Modelling for a Real-time Ship Manoeuvring Simulator
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation·2023Open Access
A Physics-Informed Neural Network to Model Port Channels
arXiv (Cornell University)·2022Open Access
Neural Network model for classification of net CO2 fluxes scenarios in Tapajós Forest, in Amazon
2022· 1 citedOpen Access
Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests
arXiv (Cornell University)·2022Open Access
Modeling Oceanic Variables with Dynamic Graph Neural Networks
arXiv (Cornell University)·2022· 5 citedOpen Access
Automatic Clustering of Metocean Conditions in the Brazilian Coast
2022
Enhancing the Forecast of Ocean Physical Variables through Physics Informed Machine Learning in the Santos Estuary, Brazil
OCEANS 2022 - Chennai·2022· 1 cited
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
Lecture notes in computer science·2022· 5 citedOpen Access
Clustering Applied to Large Sets of Environmental Conditions for Selecting Typical Scenarios for Ship Maneuvering Real-Time Simulations
2021· 2 cited
Aprendizado de máquina aplicado a simulações de manobra de navios.
Digital Library of Theses and Dissertations (Universidade de São Paulo)·2020
Machine learning applied to ship maneuvering simulations.
2020Open Access
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Frequent Co-authors

Eduardo A. Tannuri(19), Fábio Gagliardi Cozman(13), Marcelo Dottori(12), Marlon Sproesser Mathias(11), Anna Helena Reali Costa(11), Edson Satoshi Gomi(11), Marcel R. de Barros(10), Jefferson F. Coelho(8), Lucas P. de Freitas(8), Caio F. D. Netto(7), Artur Jordão(3), Alex S. Huang(2), Joselito G. A. Câmara(2), Luiz A. Schiaveto Neto(2), Caio F. Deberaldini Netto(2), Pedro Cardozo de Mello(2), Alberto Costa Nogueira(2), Wesley P. de Almeida(1), Andressa Pinto(1), Andres Monroy(1)