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pro vyhledávání: '"Gabriel Horowitz"'
Autor:
Gabriel Horowitz
Publikováno v:
Anuario Colombiano de Historia Social y de la Cultura, Vol 47, Iss 1 (2020)
Este libro es un buen punto de partida para el estudio del costumbrismo español y latinoamericano y ofrece nuevas líneas de investigación en un campo de estudio todavía no explorado plenamente. Más significativo que su reconocimiento a un géner
Externí odkaz:
https://doaj.org/article/8888f0e8bfa448f29c932c040ae58544
Autor:
Andrew M. Beresford, Sara Sánchez-Hernández, John T. Cull, J. M. Escudero Baztán, Denise Dupont, Jordi Cornellà-Detrell, Allison Bigelow, Mark Wasserman, Gabriel Horowitz, Cara Levey, Silvia R. Tandeciarz
Publikováno v:
Bulletin of Spanish Studies. 98:665-679
Publikováno v:
Chemical Product and Process Modeling. 16:169-180
The present work describes a method of automatic fault detection and identification based on a hybrid model (HM): First Principles – Neural Network. The FPM can simulate a wide range of situations while the NN corrects the model output using inform
Autor:
Gabriel Horowitz
In this original study, Gabriel Horowitz examines the work of select nineteenth- and twentieth-century Latin American writers through the lens of contemporary theoretical debates about nature, postcoloniality, and national identity. In the work of Jo
Autor:
Gabriel Horowitz
Publikováno v:
CR: The New Centennial Review. 16:211-232
Autor:
Gabriel Horowitz
Publikováno v:
Authoritarianism, Cultural History, and Political Resistance in Latin America ISBN: 9783319535432
In this chapter Horowitz considers resonances between Roa Bastos’s concept of “a delirious reality” and the more widely recognized vision of a “magical” reality so often applied to Latin America in literature, through an examination of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e281def845c7be27cb0566825367dc8
https://doi.org/10.1007/978-3-319-53544-9_13
https://doi.org/10.1007/978-3-319-53544-9_13
Publikováno v:
Computers & Chemical Engineering. 34:223-231
Many classical multivariate statistical process monitoring (MSPM) techniques assume normal distribution of the data and independence of the samples. Very often, these assumptions do not hold for real industrial chemical processes, where multiple plan
Publikováno v:
Scopus-Elsevier
A new automatic fault diagnostic method based on variable trend analysis was developed. Every time a fault is detected, the proposed method uses a local model to determine the variable trends associated to the detected fault. The fault identification
This work proposes an automatic method of qualitative simulation for industrial processes to predict the steady-state measurement patterns arising from different faults. Due to their characteristics, qualitative simulations tend to generate multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dbecab609f0e3dd2ba133bbd6fba552
http://www.sciencedirect.com/science/article/pii/S009813541400009X
http://www.sciencedirect.com/science/article/pii/S009813541400009X
Publikováno v:
Chemical Product and Process Modeling. 4
Kernel PCA, as a multivariate statistical process monitoring (MSPM) tool, is a powerful tech-nique capable of coping with non linear relations between variables, thus outperforming classicallinear techniques when non linearities are present in data.