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Emmanuel Arzuaga
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2020 – today
- 2023
- [i1]Carlos A. Theran, Michael A. Álvarez, Emmanuel Arzuaga, Heidy Sierra:
Multi-source imagery fusion using deep learning in a cloud computing platform. CoRR abs/2307.03054 (2023) - 2021
- [c14]Carlos J. Vélez-Rivera, Emmanuel Arzuaga-Cruz, Fabio Andrade, Agustin A. Irizarry-Rivera:
RISP: Tunable Fault-Tolerance for Distributed Iterative Numerical Solvers for the Smart Grid. IECON 2021: 1-6 - [c13]Carlos A. Theran, Michael A. Álvarez, Emmanuel Arzuaga, Heidy Sierra:
Hyperspectral and Multispectral Image Fusion Using a Multi-Level Propagation Learning Network. WHISPERS 2021: 1-5 - 2020
- [c12]Alejandro E. González, Emmanuel Arzuaga:
HerdMonitor: Monitoring Live Migrating Containers in Cloud Environments. IEEE BigData 2020: 2180-2189 - [c11]David Tatis, Heidy Sierra, Emmanuel Arzuaga:
Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of Materials. IEEE BigData 2020: 2915-2918
2010 – 2019
- 2019
- [c10]Fernando X. Arias, Heidy Sierra, Emmanuel Arzuaga:
RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples. HealthCom 2019: 1-6 - [c9]Fernando X. Arias, Heidy Sierra, Emmanuel Arzuaga:
A Framework For An Artificial Neural Network Enabled Single Pixel Hyperspectral Imager. WHISPERS 2019: 1-5 - [c8]Carlos Iturrino, Fernando X. Arias, Heidy Sierra, Emmanuel Arzuaga:
Single-Shot Multispectral Image Acquisition for Low-Altitude Remote Sensing using Light Diffraction Techniques. WHISPERS 2019: 1-5 - [c7]Carlos A. Theran, Michael A. Álvarez, Emmanuel Arzuaga, Heidy Sierra:
A Pixel Level Scaled Fusion Model to Provide High Spatial-Spectral Resolution for Satellite Images Using LSTM Networks. WHISPERS 2019: 1-5 - 2018
- [c6]Paul Bartus, Emmanuel Arzuaga:
GDedup: Distributed File System Level Deduplication for Genomic Big Data. BigData Congress 2018: 120-127 - 2016
- [c5]Emmanuel Carpena-Colon, Luis O. Jimenez-Rodriguez, Emmanuel Arzuaga, Miguel Velez-Reyes:
Subsurface linear unmixing on a controlled underwater enviroment. WHISPERS 2016: 1-5 - 2014
- [c4]Daniel Navarro, Jean C. Mendez, Kidany Berrios, Eduardo I. Ortiz-Rivera, Emmanuel Arzuaga:
Using cybersecurity as an engineering education approach on computer engineering to learn about Smart Grid technologies and the next generation of electric power systems. FIE 2014: 1-8 - 2011
- [c3]Emmanuel Arzuaga, David R. Kaeli:
Increasing power/performance resource efficiency on virtualized enterprise servers. Conf. Computing Frontiers 2011: 8 - 2010
- [c2]Emmanuel Arzuaga, David R. Kaeli:
Quantifying load imbalance on virtualized enterprise servers. WOSP/SIPEW 2010: 235-242
2000 – 2009
- 2007
- [j2]Luis O. Jimenez-Rodriguez, Emmanuel Arzuaga-Cruz, Miguel Velez-Reyes:
Unsupervised Linear Feature-Extraction Methods and Their Effects in the Classification of High-Dimensional Data. IEEE Trans. Geosci. Remote. Sens. 45(2): 469-483 (2007) - 2005
- [j1]Luis O. Jimenez, Jorge L. Rivera-Medina, Eladio Rodriguez-Diaz, Emmanuel Arzuaga-Cruz, Mabel Ramírez-Vélez:
Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 43(4): 844-851 (2005) - 2004
- [c1]Emmanuel Arzuaga-Cruz, Luis O. Jimenez-Rodriguez, Miguel Velez-Reyes, David R. Kaeli, Eladio Rodriguez-Diaz, Hector T. Velazquez-Santana, Alexey Castrodad-Carrau, Laura E. Santos-Campis, Cesar Santiago:
A MATLAB toolbox for Hyperspectral Image Analysis. IGARSS 2004: 4839-4842
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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