Member Bibliography/Bibliografía de Miembros

This page collects all the personal publications that CienciaPR members have uploaded to their profiles. You can also see all of the authors collected in these publications or all the keywords contained in these publications.

Found 704 results
Author Title [ Type(Desc)] Year
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Book Chapter
C. Y. She, Liu, A. Z., Yuan, T., Yue, J., Li, T., Ban, C., and Friedman, J. S., “MLT Science Enabled by Atmospheric Lidars”, in Upper Atmospheric Dynamics and Energetics, vol. 4, , Ed. John Wiley and Sons, 2021.
C. Y. She, Liu, A. Z., Yuan, T., Yue, J., Li, T., Ban, C., and Friedman, J. S., “MLT Science Enabled by Atmospheric Lidars”, in Upper Atmospheric Dynamics and Energetics, vol. 4, , Ed. John Wiley and Sons, 2021.
C. Y. She, Liu, A. Z., Yuan, T., Yue, J., Li, T., Ban, C., and Friedman, J. S., “MLT Science Enabled by Atmospheric Lidars”, in Upper Atmospheric Dynamics and Energetics, vol. 4, W. Wang, Zhang, Y., and Paxton, L. J., Eds. John Wiley and Sons, 2021.
C. Y. She, Liu, A. Z., Yuan, T., Yue, J., Li, T., Ban, C., and Friedman, J. S., “MLT Science Enabled by Atmospheric Lidars”, in Upper Atmospheric Dynamics and Energetics, vol. 4, W. Wang, Zhang, Y., and Paxton, L. J., Eds. John Wiley and Sons, 2021.
M. Fontalvo-Gomez, Johnson-Restrepo, B., Stelzer, T., and Romañach, R. J., “Process Analytical Chemistry and non-Destructive Analytical Methods - The Green Chemistry Approach for Reaction Monitoring, Control, and Analysis”, in Handbook of Green Chemistry: Vol 10 - Green Chemical Engineering, vol. 12, A. Lapkin, Ed. Wiley, 2018, pp. 259-287.
S. E. Lindow, Dulla., G., Sánchez, F., Quinto, C., López-Lara, I. M., and Geiger, O., “Quorum sensing controls epiphytic fitness and virulence in Pseudomonas syringae”, in Biology of Molecular Plant-Microbe Interactions, vol. 5, B. Quiñones, Ed. St. Paul, MN: The American Phytopathological Society Press, 2006.
S. E. Lindow, Dulla., G., Sánchez, F., Quinto, C., López-Lara, I. M., and Geiger, O., “Quorum sensing controls epiphytic fitness and virulence in Pseudomonas syringae”, in Biology of Molecular Plant-Microbe Interactions, vol. 5, B. Quiñones, Ed. St. Paul, MN: The American Phytopathological Society Press, 2006.
V. Cárdenas, Rosas, J. G., Pinzón, C., and Romañach, R. J., “Statistical Methods in Quality by Design and Process Analytical Technologies for Continuous Processes to Enable Real-Time Release”, in Continuous Pharmaceutical Processing, Z. K. Nagy, Hagrasy, A. El, and Litster, J., Eds. Cham: Springer International Publishing, 2020, pp. 361-393.
R. A. ; Vogt, Rahman, S. ;, and Crespo-Hernández, C. E., “Structure-Activity Relationships in Nitro-Aromatic Compounds”, in Practical Aspects of Computational Chemistry, J. ; Leszczynski and Shukla, M. K., Eds. Netherlands: Springer Science+Business Media, 2009, pp. 217-240.
Conference Paper
D. Gonzalez, Sanchez, C., Veguilla, R., Santiago, N. G., Rosario-Torres, S., and Velez-Reyes, M., “Abundance estimation algorithms using NVIDIA (R) CUDA (TM) technology - art. no. 69661E”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIV, 2008, vol. 6966, p. E9661.
S. Rosario-Torres and Velez-Reyes, M., “An algorithm for fully constrained abundance estimation in hyperspectral unmixing”, in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, vol. 5806, pp. 711-719.
Y. M. Masalmah, Velez-Reyes, M., and Rosario-Torres, S., “An algorithm for unsupervised unmixing of hyperspectral imagery using positive matrix factorization”, in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, vol. 5806, pp. 703-710.
V. Ortiz-Rivera, Velez-Reyes, M., and Roysam, B., “Change detection in hyperspectral imagery using temporal principal components”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, vol. 6233, p. UNSP 623312.
Y. M. Masalmah, Velez-Reyes, M., and Jimenez-Rodriguez, L. O., “Clutter modeling for subsurface detection in hyperspectral imagery using Markov random fields”, in IMAGING SPECTROMETRY IX, 2003, vol. 5159, pp. 52-63.
M. A. Goenaga-Jimenez and Velez-Reyes, M., “Comparing Quadtree Region Partitioning Metrics for Hyperspectral Unmixing.”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIX, 2013, vol. 8743, p. 87430Z.
Y. M. Masalmah and Velez-Reyes, M., “A comparison of algorithms to compute the positive matrix factorization and their application to unsupervised unmixing”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, vol. 6233, p. UNSP 623326.
M. Velez-Reyes, Jimenez, L. O., Linares, D. M., and Velazquez, H. T., “Comparison of matrix factorization algorithms for band selection in hyperspectral imagery”, in ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY VI, 2000, vol. 4049, pp. 288-297.
S. Morillo-Contreras, Velez-Reyes, M., and Hunt, S. D., “A comparison of noise reduction methods for image enhancement in classification of Hyperspectral imagery”, in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, vol. 5806, pp. 361-370.
M. Velez-Reyes and Linares, D. M., “Comparison of principal-component-based band selection methods for hyperspectral imagery”, in IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING VII, 2002, vol. 4541, pp. UNSP 4541-48.
T. Yamagata, Behera, S. K., Luo, J. J., Masson, S., Jury, M. R., and Rao, S. A., “Coupled ocean-atmosphere variability in the tropical Indian ocean”, in EARTH'S CLIMATE: THE OCEAN-ATMOSPHERE INTERACTION, 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA, 2004, vol. 147, pp. 189-211.
M. Marin-McGee and Velez-Reyes, M., “DENOISING OF HYPERSPECTRAL IMAGES BY BEST MULTILINEAR RANK APPROXIMATION OF A TENSOR”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVI, 2010, vol. 7695, p. 76950J.
A. Umana-Diaz and Velez-Reyes, M., “Determining the dimensionality of hyperspectral imagery for unsupervised band selection”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL AND ULTRASPECTRAL IMAGERY IX, 2003, vol. 5093, pp. 70-81.
G. J. Perez-Irizarry, De la Cruz-Sanchez, F., Landron-Rivera, B. A., Santiago, N. G., and Velez-Reyes, M., “Developing a portable GPU library for hyperspectral image processing”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVIII, 2012, vol. 8390, p. 839017.
G. J. Perez-Irizarry, De la Cruz-Sanchez, F., Landron-Rivera, B. A., Santiago, N. G., and Velez-Reyes, M., “Developing a portable GPU library for hyperspectral image processing”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVIII, 2012, vol. 8390, p. 839017.
S. Morillo-Contreras, Velez-Reyes, M., and Hunt, S. D., “Effects of resolution enhancement and atmospheric correction pre-processing in classification of hyperspectral imagery”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY X, 2004, vol. 5425, pp. 384-392.

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