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The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes

Microscopy research and technique, 2023-10, Vol.86 (10), p.1237-1248

2023

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Determination of the contact stresses in double-row tapered roller bearings using the finite element method, experimental analysis and analytical models

Journal of Mechanical Science and Technology, 2015, 29(11), , pp.4645-4656

2015

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Prediction of Head Related Transfer Functions Using Machine Learning Approaches

Acoustics (Basel, Switzerland), 2023-03, Vol.5 (1), p.254-267

2023

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Improvement of transmission line ampacity utilization via machine learning-based dynamic line rating prediction

Electric power systems research, 2024-11, Vol.236, p.110931, Article 110931

2024

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New chromium steel grade for creep applications

Materials research express, 2022-10, Vol.9 (10), p.106509

2022

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Design and optimization of an electromagnetic servo braking system combining finite element analysis and weight-based multi-objective genetic algorithms

Journal of Mechanical Science and Technology, 2016, 30(8), , pp.3591-3605

2016

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Methodology to classify the shape of reinforcement fillers: optimization, evaluation, comparison, and selection of models

Journal of materials science, 2017, Vol.52 (1), p.569-580

2017

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Use of decision tree models based on evolutionary algorithms for the morphological classification of reinforcing nano-particle aggregates

Computational materials science, 2014-09, Vol.92, p.102-113

2014

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Quantitative electron tomography of polylactic acid/clay nanocomposites for better comprehension of processing–microstructure–elastic modulus

Polymers & polymer composites, 2021-07, Vol.29 (6), p.724-732

2021

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Using Genetic Algorithms with Multi-Objective Optimization to Adjust Finite Element Models of Welded Joints

Metals (Basel ), 2018-04, Vol.8 (4), p.230

2018

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Influence of Cryogenic Treatment on Wear Resistance and Microstructure of AISI A8 Tool Steel

Metals (Basel ), 2018-12, Vol.8 (12), p.1038

2018

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A Soft Computing Approach to Optimize the Production of Biodiesel

Hybrid Artificial Intelligent Systems, p.507-518

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Multivariate Analysis of Composition Features to Perform Linear Predictions of Rubber Blends Tensile Strength

Applied Mechanics and Materials, 2017-10, Vol.872, p.77-82

2017

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Multicentre cohort study of acute cholecystitis management during the COVID-19 pandemic

European journal of trauma and emergency surgery (Munich : 2007), 2021-06, Vol.47 (3), p.683-692

2021

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Characterization of electrolytic tinplate materials via combined finite element and regression models

Journal of strain analysis for engineering design, 2014-08, Vol.49 (6), p.467-480

2014

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Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method

International Joint Conference SOCO’16-CISIS’16-ICEUTE’16, p.223-232

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Design of an Electromagnetic Servo Brake with ABS Function

Applied mechanics and materials, 2015-10, Vol.799-800 (Mechanical and Electrical Technology VII), p.1172-1176

2015

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Design of a Device to Eliminate Isocyanuric Acid from Water

Applied mechanics and materials, 2015-10, Vol.799-800 (Mechanical and Electrical Technology VII), p.952-956

2015

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Cyclone Performance Prediction Using Linear Regression Techniques

International Joint Conference SOCO’16-CISIS’16-ICEUTE’16, p.53-62

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Impact of anxiety and depression on the physical status and daily routines of cancer patients during chemotherapy

Psicothema, 2011-08, Vol.23 (3), p.374-381

2011

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Study of Different Biomaterials for Artificial Lumbar Disc Prosthesis Using FEM

Applied mechanics and materials, 2015-10, Vol.799-800 (Mechanical and Electrical Technology VII), p.483-487

2015

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Adjust the Thermo-Mechanical Properties of Finite Element Models Welded Joints Based on Soft Computing Techniques

Hybrid Artificial Intelligent Systems, p.699-709

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Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines

Energies (Basel), 2018-11, Vol.11 (11), p.2995

2018

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Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent

Soft computing (Berlin, Germany), 2019-08, Vol.23 (15), p.6115-6124

2019

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Optimizing presetting attributes by softcomputing techniques to improve tapered roller bearings working conditions

Advances in engineering software (1992), 2018-09, Vol.123, p.13-24

2018

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The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes

Determination of the contact stresses in double-row tapered roller bearings using the finite element method, experimental analysis and analytical models

Prediction of Head Related Transfer Functions Using Machine Learning Approaches

Improvement of transmission line ampacity utilization via machine learning-based dynamic line rating prediction

New chromium steel grade for creep applications

Design and optimization of an electromagnetic servo braking system combining finite element analysis and weight-based multi-objective genetic algorithms

Methodology to classify the shape of reinforcement fillers: optimization, evaluation, comparison, and selection of models

Use of decision tree models based on evolutionary algorithms for the morphological classification of reinforcing nano-particle aggregates

Quantitative electron tomography of polylactic acid/clay nanocomposites for better comprehension of processing–microstructure–elastic modulus

Using Genetic Algorithms with Multi-Objective Optimization to Adjust Finite Element Models of Welded Joints

Influence of Cryogenic Treatment on Wear Resistance and Microstructure of AISI A8 Tool Steel

A Soft Computing Approach to Optimize the Production of Biodiesel

Multivariate Analysis of Composition Features to Perform Linear Predictions of Rubber Blends Tensile Strength

Multicentre cohort study of acute cholecystitis management during the COVID-19 pandemic

Characterization of electrolytic tinplate materials via combined finite element and regression models

Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method

Design of an Electromagnetic Servo Brake with ABS Function

Design of a Device to Eliminate Isocyanuric Acid from Water

Cyclone Performance Prediction Using Linear Regression Techniques

Impact of anxiety and depression on the physical status and daily routines of cancer patients during chemotherapy

Study of Different Biomaterials for Artificial Lumbar Disc Prosthesis Using FEM

Adjust the Thermo-Mechanical Properties of Finite Element Models Welded Joints Based on Soft Computing Techniques

Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines

Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent

Optimizing presetting attributes by softcomputing techniques to improve tapered roller bearings working conditions

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