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A Versatile Open-Source Printhead for Low-Cost 3D Microextrusion-Based Bioprinting

Polymers, 2020-10, Vol.12 (10), p.2346

2020

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Atmospheric pressure air plasma treatment to improve the 3D printing of polyoxymethylene

Plasma processes and polymers, 2019-07, Vol.16 (7), p.n/a

2019

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Technical‐economic assessment of redesigned reinforced concrete pre‐slabs: Incorporating corrugated cardboard

Structural concrete : journal of the FIB, 2019-08, Vol.20 (4), p.1340-1349

2019

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Accurate Calibration in Multi-Material 3D Bioprinting for Tissue Engineering

Materials, 2018-08, Vol.11 (8), p.1402

2018

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Implementing a technically and economically viable system for recording data inside concrete

Construction & building materials, 2017-12, Vol.157, p.860-872

2017

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Efficient Fabrication of Polycaprolactone Scaffolds for Printing Hybrid Tissue-Engineered Constructs

Materials, 2019-02, Vol.12 (4), p.613

2019

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Practical methodology for validating constitutive models for the simulation of rubber compounds in extrusion processes

International journal of advanced manufacturing technology, 2017-05, Vol.90 (5-8), p.2377-2387

2017

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TAO-robust backpropagation learning algorithm

Neural networks, 2005-03, Vol.18 (2), p.191-204

2005

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Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting

Hybrid Artificial Intelligent Systems, p.427-434

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Strength Performance of Different Mortars Doped Using Olive Stones as Lightweight Aggregate

Buildings (Basel), 2022-10, Vol.12 (10), p.1668

2022

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HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets

Neurocomputing (Amsterdam), 2023-12, Vol.560, p.126840, Article 126840

2023

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PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections

Neurocomputing (Amsterdam), 2023-09, Vol.548, p.126414, Article 126414

2023

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Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets

Hybrid Artificial Intelligent Systems, p.384-396

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A novel hybrid strip finishing process to improve mechanical properties and reduce energy consumption

International journal of material forming, 2019-01, Vol.12 (1), p.27-43

2019

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Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

Logic journal of the IGPL, 2017-12, Vol.25 (6), p.877-889

2017

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New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases

Hybrid Artificial Intelligent Systems, p.335-347

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PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections

Hybrid Artificial Intelligent Systems, p.15-26

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Predictive modelling in grape berry weight during maturation process: comparison of data mining, statistical and artificial intelligence techniques

Spanish journal of agricultural research : SJAR, 2011-12, Vol.9 (4), p.1156-1167

2011

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Passivity-based controller for chemical processes

Revista técnica de la Facultad de Ingeniería, Universidad del Zulia, 2002-04, Vol.25 (1), p.3-11

2002

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Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees

Learning in the Age of Digital and Green Transition, p.283-290

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Passivity-based controller for chemical processes

Revista técnica de la Facultad de Ingeniería, Universidad del Zulia, 2010-11, Vol.25 (1)

2010

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On the pH Control of a CSTR System: An Invariant Stabilization Approach

IFAC Proceedings Volumes, 2001-07, Vol.34 (6), p.1337-1342

2001

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A Versatile Open-Source Printhead for Low-Cost 3D Microextrusion-Based Bioprinting

Atmospheric pressure air plasma treatment to improve the 3D printing of polyoxymethylene

Technical‐economic assessment of redesigned reinforced concrete pre‐slabs: Incorporating corrugated cardboard

Accurate Calibration in Multi-Material 3D Bioprinting for Tissue Engineering

Implementing a technically and economically viable system for recording data inside concrete

Efficient Fabrication of Polycaprolactone Scaffolds for Printing Hybrid Tissue-Engineered Constructs

Practical methodology for validating constitutive models for the simulation of rubber compounds in extrusion processes

TAO-robust backpropagation learning algorithm

Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting

Strength Performance of Different Mortars Doped Using Olive Stones as Lightweight Aggregate

HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets

PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections

Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets

A novel hybrid strip finishing process to improve mechanical properties and reduce energy consumption

Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases

PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections

Predictive modelling in grape berry weight during maturation process: comparison of data mining, statistical and artificial intelligence techniques

Passivity-based controller for chemical processes

Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees

Passivity-based controller for chemical processes

On the pH Control of a CSTR System: An Invariant Stabilization Approach

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