E-LIB Suche - Ergebnisse für: Juarez, Brenda Acevedo

1

Deep Learning for Nanoparticle Classification in SEM Microg..:

, In: 2022 11th International Conference On Software Process Improvement (CIMPS),

Toscano, Iker ; De-la-Torre, Miguel ; Juarez, Brenda Acevedo. - p. 119-125 , 2022

2

Radial grid reflectance correction for hyperspectral images..:

Castro, Wilson ; Mejía, Jezreel ; De-la-Torre, Miguel...
Computers and Electronics in Agriculture. 213 (2023) - p. 108179 , 2023

Link: https://doi.org/10.1016/..

3

Comparison of recurrent neural networks and partial least s..:

, In: 2023 12th International Conference On Software Process Improvement (CIMPS),

Castro, Wilson ; Juarez, Luis ; Tene, Baldemar... - p. 209-214 , 2023

Link: https://doi.org/10.1109/..

4

Circulatory Pathways in the Water and Wastewater Sector in ..:

Soto-Rios, Paula Cecilia ; Nagabhatla, Nidhi ; Acevedo-Juárez, Brenda
Water. 15 (2023) 6 - p. 1092 , 2023

Link: https://doi.org/10.3390/..

5

Systematic mapping: Use of neural networks for analysis in ..:

, In: 2022 11th International Conference On Software Process Improvement (CIMPS),

Bravo, Diego Morales ; De-la-Torre, Miguel ; Acevedo-Juarez, Brenda. - p. 126-132 , 2022

Link: https://doi.org/10.1109/..

6

New upper bounds for sequence Covering Arrays using a 3-sta..:

Torres-Jimenez, Jose ; Ramirez-Acuna, Daniel Osvaldo ; Acevedo-Juárez, Brenda.
Expert Systems with Applications. 207 (2022) - p. 118022 , 2022

Link: https://doi.org/10.1016/..

7

An approach to fill in missing data from satellite imagery ..:

Lomelí-Huerta, José Roberto ; Rivera-Caicedo, Juan Pablo ; De-la-Torre, Miguel...
PeerJ Computer Science. 8 (2022) - p. e979 , 2022

Link: https://doi.org/10.7717/..

8

Amazonian cacao-clone nibs discrimination using NIR spectro..:

Castro, Wilson ; De-la-Torre, Miguel ; Avila-George, Himer...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 270 (2022) - p. 120815 , 2022

Link: https://doi.org/10.1016/..

9

Covering array EXtender:

Torres-Jimenez, Jose ; Acevedo-Juárez, Brenda ; Avila-George, Himer
Applied Mathematics and Computation. 402 (2021) - p. 126122 , 2021

Link: https://doi.org/10.1016/..

10

Feasibility of using spectral profiles for modeling water a..:

Castro, Wilson ; Prieto, Jose M. ; Guerra, Roenfi...
Journal of Food Engineering. 238 (2018) - p. 95-102 , 2018

Link: https://doi.org/10.1016/..

11

A greedy-metaheuristic 3-stage approach to construct coveri..:

Izquierdo-Marquez, Idelfonso ; Torres-Jimenez, Jose ; Acevedo-Juárez, Brenda.
Information Sciences. 460-461 (2018) - p. 172-189 , 2018

Link: https://doi.org/10.1016/..

12

New insights in the metabolic behaviour of PAO under neglig..:

Acevedo Juárez, Brenda ; Murgui Mezquita, Mónica ; Borrás Falomir, Luis.
Chemical Engineering Journal. , 2017

Link: http://hdl.handle.net/10..

13

Estudio y modelación matemática del cambio metabólico de la..:

Acevedo Juárez, Brenda
http://hdl.handle.net/10251/62585. , 2016

Link: http://hdl.handle.net/10..

14

The metabolic versatility of PAOs as an opportunity to obta..:

Acevedo Juárez, Brenda ; Camiña, C ; Corona, J. E..
Chemical Engineering Journal. , 2015

Link: http://hdl.handle.net/10..

15

Circulatory Pathways in the Water and Wastewater Sector in ..:

Paula Cecilia Soto-Rios ; Nidhi Nagabhatla ; Brenda Acevedo-Juárez
Urban Water Management. , 2023

Link: https://doi.org/10.3390/..