| 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 | 26 | 2022 |
| Welding defect classification from simulated ultrasonic signals RHF Murta, FA Vieira, VO Santos, EP de Moura Journal of Nondestructive Evaluation 37 (3), 40, 2018 | 22 | 2018 |
| 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 | 17 | 2023 |
| 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 | 14 | 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 | 11 | 2023 |
| PA; Scott, J.; Van Griensven Thé, J.; Gharabaghi, B. Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks V Oliveira Santos, C Rocha Atmosphere 14, 308, 2023 | 9 | 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 | 8 | 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 | 6 | 2023 |
| Thé, JVG; Gharabaghi, B. Deep Neural Network Modeling for CFD Simulations: Benchmarking the Fourier Neural Operator on the Lid-Driven Cavity Case V Oliveira Santos, AA Aliabadi Appl. Sci 13, 3165, 2023 | 5 | 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 | 1 | 2023 |
| 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 | | 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 |
| 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 | | 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 | | 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 |
| Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy FP Marinho, PAC Rocha, ARR Neto, VO Santos | | |
| ESTUDO DO REGIME DE ESPALHAMENTO DE ONDAS ULTRASSÔNICAS SIMULADAS EM DIFERENTES MEIOS HETEROGÊNEOS MODELADOS VO Santos, PP Maia, F Braga, EP de Moura | | |
Paulo A. C. RochaProfessor of Mechanical Engineering, Universidade Federal do CearáVerified email at ufc.br
