Yannic Lops
Orcid: 0000-0002-2594-7845
According to our database1,
Yannic Lops
authored at least 11 papers
between 2020 and 2023.
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Bibliography
2023
Spatiotemporal estimation of TROPOMI NO<sub>2</sub> column with depthwise partial convolutional neural network.
Neural Comput. Appl., July, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
2022
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network.
CoRR, 2022
Deep learning solver for solving advection-diffusion equation in comparison to finite difference methods.
Commun. Nonlinear Sci. Numer. Simul., 2022
2021
Efficient PM<sub>2.5</sub> forecasting using geographical correlation based on integrated deep learning algorithms.
Neural Comput. Appl., 2021
2020
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance.
Neural Networks, 2020
Neural Comput. Appl., 2020
A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance.
CoRR, 2020