Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: a case study using the GOES … PAC Rocha, VO Santos International Journal of Energy and Environmental Engineering 13 (4), 1271-1286, 2022 | 33 | 2022 |
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database VO Santos, PAC Rocha, J Scott, JVG Thé, B Gharabaghi Energy 278, 127852, 2023 | 28* | 2023 |
Welding defect classification from simulated ultrasonic signals RHF Murta, FA Vieira, VO Santos, EP de Moura Journal of Nondestructive Evaluation 37 (3), 40, 2018 | 28 | 2018 |
Spatiotemporal air pollution forecasting in houston-TX: a case study for ozone using deep graph neural networks V Oliveira Santos, PA Costa Rocha, J Scott, J Van Griensven Thé, ... Atmosphere 14 (2), 308, 2023 | 25* | 2023 |
Deep neural network modeling for CFD simulations: Benchmarking the Fourier neural operator on the lid-driven cavity case PA Costa Rocha, SJ Johnston, V Oliveira Santos, AA Aliabadi, JVG Thé, ... Applied Sciences 13 (5), 3165, 2023 | 19* | 2023 |
A new graph-based deep learning model to predict flooding with validation on a case study on the humber river V Oliveira Santos, PA Costa Rocha, J Scott, JVG Thé, B Gharabaghi Water 15 (10), 1827, 2023 | 11* | 2023 |
Graph-Based deep learning model for forecasting chloride concentration in urban streams to protect salt-vulnerable areas V Oliveira Santos, PA Costa Rocha, JVG Thé, B Gharabaghi Environments 10 (9), 157, 2023 | 8 | 2023 |
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions FD Vidal Bezerra, F Pinto Marinho, PA Costa Rocha, V Oliveira Santos, ... Atmosphere 14 (11), 1635, 2023 | 5* | 2023 |
C.; Scott, J.; Thé, JVG; Gharabaghi, B. Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural … VO Santos, PA Rocha Energy 278, 127852, 2023 | 5 | 2023 |
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California V Oliveira Santos, FP Marinho, PA Costa Rocha, JVG Thé, B Gharabaghi Energies 17 (14), 3580, 2024 | 3 | 2024 |
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods V Oliveira Santos, BMDM Guimarães, IEL Neto, FA de Souza Filho, ... Remote Sensing 16 (11), 1870, 2024 | 2 | 2024 |
New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting PA Costa Rocha, V Oliveira Santos, J Van Griensven Thé, B Gharabaghi Environments 10 (12), 217, 2023 | 2 | 2023 |
Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada PA Costa Rocha, V Oliveira Santos, J Scott, J Van Griensven Thé, ... International Journal of River Basin Management, 1-18, 2024 | 1 | 2024 |
Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy FP Marinho, PAC Rocha, ARR Neto, VO Santos 2024 International Joint Conference on Neural Networks (IJCNN), 1-9, 2024 | | 2024 |
Enhancing Turbidity Modeling in the Mississippi River Using Machine Learning and Sentinel‐2 Remote Sensing Data: A Generalizability Analysis PAC Rocha, VO Santos, B Gharabaghi Preprints, 2024 | | 2024 |
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions. Atmosphere FD Vidal Bezerra, F Pinto Marinho, PA Costa Rocha, V Oliveira Santos, ... | | 2023 |
Efeito do viés geográfico em uma rede neural profunda através da transferência de aprendizado entre as estações de Hanford (EUA) e Petrolina (Brasil) VO Santos | | 2022 |
Turbulence models applied to classical fluid mechanics and heat transfer problems: the perfomance evaluation of the open source CFD package OPENFOAM PAC Rocha, FP Marinho, VO Santos, SP Mendonça, MEV Silva ACERTTE, 2021 | | 2021 |
Simulação de propagação de ondas ultrassônicas sob diferentes regimes de espalhamento VO Santos | | 2018 |
Análise de agrupamento de sinais obtidos por simulação numérica do ensaio ultrassônico para reconhecimento de defeitos de soldagem RHF Murta, VO Santos, FA Vieira, PJ Camurça, EP Moura ABM Week-https://abmproceedings. com. br/; Editora Blucher, 2017 | | 2017 |