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Carlos A. Escobar
Observed names:
Carlos A. Escobar Diaz,
Carlos A. Escobar Díaz,
Carlos Escobar Diaz,
Carlos Escobar Díaz
Institutions:
Instituto Tecnológico de Ciudad Juárez,
Tecnológico de Monterrey
Observed institutions:
General Motors (United States),
Amazon (United States),
Instituto Tecnológico de Ciudad Juárez,
Tecnológico de Monterrey
ORCID:
0000-0002-7234-8175
Observed ORCID:
0000-0002-7234-8175
OpenAlex ID:
A5067088815
Educational experiences with Generation Z
2020
·
Marcela Hernandez-de-Menendez
, Carlos A. Escobar Díaz
, et al.
·
International Journal on Interactive Design and Manufacturing (IJIDeM)
·
401
Quality 4.0: a review of big data challenges in manufacturing
2021
·
Carlos A. Escobar
, Megan E. McGovern
, et al.
·
Journal of Intelligent Manufacturing
·
241
PDF
Technologies for the future of learning: state of the art
2019
·
Marcela Hernandez-de-Menendez
, Carlos Escobar Díaz
, et al.
·
International Journal on Interactive Design and Manufacturing (IJIDeM)
·
178
Engineering education for smart 4.0 technology: a review
2020
·
Marcela Hernandez-de-Menendez
, Carlos A. Escobar Díaz
, et al.
·
International Journal on Interactive Design and Manufacturing (IJIDeM)
·
172
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation
2023
·
Carlos A. Escobar
, Daniela Macias-Arregoyta
, et al.
·
Quality Engineering
·
52
PDF
Interpreting learning models in manufacturing processes: Towards explainable AI methods to improve trust in classifier predictions
2023
·
Claudia V. Goldman
, Michael Baltaxe
, et al.
·
Journal of Industrial Information Integration
·
52
Quality 4.0: Learning quality control, the evolution of SQC/SPC
2024
·
Carlos A. Escobar
, José Antonio Cantoral-Ceballos
, et al.
·
Quality Engineering
·
23
Complex competencies for leader education: artificial intelligence analysis in student achievement profiling
2024
·
Maria Soledad Ramirez-Montoya
, Ruben Morales-Menendez
, et al.
·
Cogent Education
·
15
PDF
Process monitoring for quality — A multiple classifier system for highly unbalanced data
2021
·
Carlos A. Escobar
, Daniela Macias
, et al.
·
Heliyon
·
15
PDF
Process monitoring for quality–a feature selection method for highly unbalanced binary data
2022
·
Carlos A. Escobar Diaz
, Jorge Arinez
, et al.
·
International Journal on Interactive Design and Manufacturing (IJIDeM)
·
5
Correction to: Quality 4.0: a review of big data challenges in manufacturing
2021
·
Carlos A. Escobar
, Megan E. McGovern
, et al.
·
Journal of Intelligent Manufacturing
·
4
PDF
Correction to: Process monitoring for quality - a feature selection method for highly unbalanced binary data
2022
·
Carlos A. Escobar Diaz
, Jorge Arinez
, et al.
·
International Journal on Interactive Design and Manufacturing (IJIDeM)
PDF
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Works count:
12
Citation count:
1,158
H-index:
9
I10-index:
9
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