Detecting Pneumatic Failures on Temporary Immersion Bioreactors

By Octavio Loyola-González, José Francisco Martínez Trinidad, J. A. Carrasco-Ochoa, Dayton Hernández-Tamayo, Milton García-Borroto. 2016

3 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Plant Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Octavio Loyola-González
2. Raúl Monroy
3. Dayton Hernández-Tamayo
4. Milton García-Borroto
5. J. A. Carrasco-Ochoa
6. Miguel Angel Medina-Pérez

In Plant Science

1. Octavio Loyola-González
2. Milton García-Borroto
3. J. A. Carrasco-Ochoa
4. Dayton Hernández-Tamayo

Citations in the corpus

• Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “Even, most of these experts claim that they do not need to understand the mathematical supporting the machine learning model applied in their expertise domain [6], [100], [101].”
• A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2019, methodology): “(iv) They can be introduced in an easy way into a programmable logic controller (PLC), which is used to manage a TIB [6,19].”