Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Ignacio Turias"'
1
Akademický článek
Virtual Sensor for Estimating the Strain-Hardening Rate of Austenitic Stainless Steels Using a Machine Learning Approach
Autor: Julia Contreras-Fortes, M. Inmaculada Rodríguez-García, David L. Sales, Rocío Sánchez-Miranda, Juan F. Almagro, Ignacio Turias
Publikováno v: Applied Sciences, Vol 14, Iss 13, p 5508 (2024)
This study introduces a Multiple Linear Regression (MLR) model that functions as a virtual sensor for estimating the strain-hardening rate of austenitic stainless steels, represented by the Hardening Rate of Hot rolled and annealed Stainless steel sh
Externí odkaz: https://doaj.org/article/285431ba10624f56b1e68cc2540f3586
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2
Akademický článek
Application of Multivariate Statistical Techniques as an Indicator of Variability of the Effects of COVID-19 on the Paris Memorandum of Understanding on Port State Control
Autor: Jose Manuel Prieto, Víctor Amor-Esteban, David Almorza-Gomar, Ignacio Turias, Francisco Piniella
Publikováno v: Mathematics, Vol 11, Iss 14, p 3188 (2023)
The first pandemic of the 21st Century was declared at the beginning of the year 2020 due to the spread of the COVID-19 virus. Its effects devastated the world economy and greatly affected maritime transport, one of the precursors of globalisation. T
Externí odkaz: https://doaj.org/article/89e24e2b6af54459bdf442b86fd13895
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3
Akademický článek
Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach
Autor: Jose Manuel Prieto, Victor Amor, Ignacio Turias, David Almorza, Francisco Piniella
Publikováno v: Mathematics, Vol 9, Iss 17, p 2092 (2021)
Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their p
Externí odkaz: https://doaj.org/article/b7c9feb7fbfc49abac2d75556a65c7f4
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4
Akademický článek
A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities
Autor: Juan Jesús Ruiz-Aguilar, José Antonio Moscoso-López, Daniel Urda, Javier González-Enrique, Ignacio Turias
Publikováno v: Applied Sciences, Vol 10, Iss 23, p 8326 (2020)
An accurate prediction of freight volume at the sanitary facilities of seaports is a key factor to improve planning operations and resource allocation. This study proposes a hybrid approach to forecast container volume at the sanitary facilities of a
Externí odkaz: https://doaj.org/article/a4f695a4d6384360bc6ba2a5572ecacb
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