José Tuxpan
Orcid: 0000-0001-5167-0205
According to our database1,
José Tuxpan
authored at least 14 papers
between 2009 and 2024.
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Bibliography
2024
Approximation of a Convective-Event-Monitoring System Using GOES-R Data and Ensemble ML Models.
Remote. Sens., February, 2024
Integr., 2024
2023
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions.
Environ. Model. Softw., October, 2023
Identification of Deep Convection Clouds Using ABIGOES Data and Machine Learning Techniques: The Case of Los Mochis, Sinaloa, Mexico.
Proceedings of the Mexican International Conference on Computer Science, 2023
2022
2014
Spatial spectrum pattern estimation based on the DEDR-TV extended approach for fractional SAR imagery enhancement.
Proceedings of the 24th International Conference on Electronics, 2014
2013
<i>ℓ</i><sub>2</sub>-<i>ℓ</i><sub>1</sub> Structured descriptive experiment design regularization based enhancement of fractional SAR imagery.
Signal Process., 2013
Reconstruction of remote sensing imagery via fused multimode neural network computing.
Proceedings of the 23rd International Conference on Electronics, 2013
2012
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems.
Sensors, 2011
Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization.
EURASIP J. Adv. Signal Process., 2011
2010
Fused variational analysis technique for high-resolution reconstruction of remote sensing imagery.
Proceedings of the 7th International Conference on Electrical Engineering, 2010
2009
Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging.
Proceedings of the Progress in Pattern Recognition, 2009
Proceedings of the Progress in Pattern Recognition, 2009