Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks
Modelling a process requires a priori knowledge of the possible causal relationships between the study variables and the response, especially when the raw material is waste. A new approach to characterizing a manufacturing process is presented to extend data that are difficult to obtain by direct ex...
Saved in:
Main Authors: | Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10857333/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Minimal state models for ionic channels involved in glucagon secretion
by: Virginia González-Vélez, et al.
Published: (2010-09-01) -
A Massively Parallel SMC Sampler for Decision Trees
by: Efthyvoulos Drousiotis, et al.
Published: (2025-01-01) -
A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model
by: Edwiga Renald, et al.
Published: (2025-01-01) -
An MCMC Approach to Bayesian Image Analysis in Fourier Space
by: Konstantinos Bakas, et al.
Published: (2025-12-01) -
A comprehensive review of AI-based collagen valorization: Recent trends, innovations in extraction, and applications
by: Arthi Srinivasan, et al.
Published: (2025-03-01)