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José Tuxpan
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2020 – today
- 2024
- [j7]Marcial Bonilla-Marín, José Tuxpan, Eric Campos-Cantón:
Alternative method to reveal encoded images via Gaussian distribution functions. Integr. 96: 102166 (2024) - [j6]Rodrigo Dávila-Ortiz, José Noel Carbajal-Pérez, Juan Alberto Velázquez-Zapata, José Tuxpan-Vargas:
Approximation of a Convective-Event-Monitoring System Using GOES-R Data and Ensemble ML Models. Remote. Sens. 16(4): 675 (2024) - 2023
- [j5]José Luis Uc-Castillo, Ana Elizabeth Marín-Celestino, Diego Armando Martínez-Cruz, José Tuxpan-Vargas, José Alfredo Ramos-Leal:
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions. Environ. Model. Softw. 168: 105788 (2023) - [c7]Rodrigo Dávila-Ortiz, José Tuxpan-Vargas, Juan Alberto Velázquez-Zapata:
Identification of Deep Convection Clouds Using ABIGOES Data and Machine Learning Techniques: The Case of Los Mochis, Sinaloa, Mexico. ENC 2023: 1-7 - 2022
- [j4]S. González-Salas, B. B. Cassal-Quiroga, José Tuxpan, Eric Campos:
Dynamics of Multimodal Families of m-Modal Maps. Complex. 2022: 4340794:1-4340794:13 (2022)
2010 – 2019
- 2014
- [c6]David G. Torres, José Tuxpan, Israel Yañez:
Spatial spectrum pattern estimation based on the DEDR-TV extended approach for fractional SAR imagery enhancement. CONIELECOMP 2014: 7-13 - 2013
- [j3]Yuriy V. Shkvarko, José Tuxpan, Stewart René Santos Arce:
ℓ2-ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery. Signal Process. 93(12): 3553-3566 (2013) - [c5]Yuriy V. Shkvarko, Stewart Santos, José Tuxpan:
Reconstruction of remote sensing imagery via fused multimode neural network computing. CONIELECOMP 2013: 244-248 - 2012
- [c4]Yuriy V. Shkvarko, José Tuxpan, Stewart Santos, Israel Yañez:
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach. IGARSS 2012: 6967-6970 - 2011
- [j2]Yuriy Shkvarko, Stewart Santos, José Tuxpan:
Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization. EURASIP J. Adv. Signal Process. 2011: 85 (2011) - [j1]Yuriy Shkvarko, José Tuxpan, Stewart Santos:
Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems. Sensors 11(5): 4483-4511 (2011) - 2010
- [c3]José Tuxpan-Vargas, Stewart René Santos Arce:
Fused variational analysis technique for high-resolution reconstruction of remote sensing imagery. CCE 2010: 351-356
2000 – 2009
- 2009
- [c2]Yuriy Shkvarko, José Tuxpan, Stewart Santos:
Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging. CIARP 2009: 1013-1020 - [c1]Yuriy Shkvarko, Stewart Santos, José Tuxpan:
Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory. CIARP 2009: 1021-1028
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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