Carlos Guerrero-Méndez
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View article: VitralColor-12: A Synthetic Twelve-Color Segmentation Dataset from GPT-Generated Stained-Glass Images
VitralColor-12: A Synthetic Twelve-Color Segmentation Dataset from GPT-Generated Stained-Glass Images Open
The segmentation and classification of color are crucial stages in image processing, computer vision, and pattern recognition, as they significantly impact the results. The diverse, hand-labeled datasets in the literature are applied for m…
View article: Evolution of the Structure of EDPM Crosslinking Networks and Its Influence on the Rheological Properties of the Injection Molding Process
Evolution of the Structure of EDPM Crosslinking Networks and Its Influence on the Rheological Properties of the Injection Molding Process Open
The rubber industry is evolving by incorporating innovative tools to improve production processes. A proper manufacturing process determines the behavior and service life of the resulting products. In this research, molecular dynamics simu…
View article: Evolution of the Structure of EDPM Crosslinking Networks and Its Influence on the Rheological Properties of the Injection Molding Process
Evolution of the Structure of EDPM Crosslinking Networks and Its Influence on the Rheological Properties of the Injection Molding Process Open
The rubber industry is evolving by incorporating innovative tools to improve production processes. A proper manufacturing process determines the behavior and service life of the resulting products. In this research, molecular dynamics simu…
View article: Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures
Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures Open
This study evaluates the performance of various ResNet architectures for classifying peaches as “healthy” or “damaged”. A dataset of 3 370 images was used, with data-augmentation techniques applied to enrich the training set. Transfer lear…
View article: Comparative analysis of performance, efficiency, and resource usage between COMSOL Multiphysics and the MPh library of Python in the simulation of physical phenomena
Comparative analysis of performance, efficiency, and resource usage between COMSOL Multiphysics and the MPh library of Python in the simulation of physical phenomena Open
MPh is a library of Python that makes possible to link the Python computer language with COMSOL Multiphysics. The use of the MPh library opens the possibility to save the computer resources employed when simulating physical phenomena and s…
View article: Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices
Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices Open
Recent research has demonstrated the effectiveness of convolutional neural networks (CNN) in assessing the health status of bee colonies by classifying acoustic patterns. However, developing a monitoring system using CNNs compared to conve…
View article: Dynamical Sphere Regrouping Particle Swarm Optimization Programming: An Automatic Programming Algorithm Avoiding Premature Convergence
Dynamical Sphere Regrouping Particle Swarm Optimization Programming: An Automatic Programming Algorithm Avoiding Premature Convergence Open
Symbolic regression plays a crucial role in machine learning and data science by allowing the extraction of meaningful mathematical models directly from data without imposing a specific structure. This level of adaptability is especially b…
View article: Mooney–Rivlin Parameter Determination Model as a Function of Temperature in Vulcanized Rubber Based on Molecular Dynamics Simulations
Mooney–Rivlin Parameter Determination Model as a Function of Temperature in Vulcanized Rubber Based on Molecular Dynamics Simulations Open
The automotive industry is entering a digital revolution, driven by the need to develop new products in less time that are high-quality and environmentally friendly. A proper manufacturing process influences the performance of the door gro…
View article: Evaluation of Optimization Algorithms for Measurement of Suspended Solids
Evaluation of Optimization Algorithms for Measurement of Suspended Solids Open
Advances in convolutional neural networks (CNNs) provide novel and alternative solutions for water quality management. This paper evaluates state-of-the-art optimization strategies available in PyTorch to date using AlexNet, a simple yet p…
View article: Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.)
Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.) Open
This paper analyzes Convolutional Neural Network (CNN) models for classifying dried chili pepper quality. The models categorize images into five categories: “Extra”, “First Class”, “Second Class”, “Trash”, and “Empty”, each representing di…
View article: Effect of Near Ultraviolet Radiation on Varroa Destructor Using Digital Holographic Interferometry
Effect of Near Ultraviolet Radiation on Varroa Destructor Using Digital Holographic Interferometry Open
The incessant threat posed by the Varroa destructor mite to bee colonies has spurred extensive research into control strategies. One of these strategies involves ultraviolet radiation, aiming to harness the damaging effects that this type …
View article: Dynamical Sphere Regrouping Particle Swarm Optimization: A Proposed Algorithm for Dealing with PSO Premature Convergence in Large-Scale Global Optimization
Dynamical Sphere Regrouping Particle Swarm Optimization: A Proposed Algorithm for Dealing with PSO Premature Convergence in Large-Scale Global Optimization Open
Optimizing large-scale numerical problems is a significant challenge with numerous real-world applications. The optimization process is complex due to the multi-dimensional search spaces and possesses several locally optimal regions. In re…
View article: Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources
Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources Open
In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acous…
View article: A deep neural network model of the primate superior colliculus for emotion recognition
A deep neural network model of the primate superior colliculus for emotion recognition Open
Although sensory processing is pivotal to nearly every theory of emotion, the evaluation of the visual input as ‘emotional’ (e.g. a smile as signalling happiness) has been traditionally assumed to take place in supramodal ‘limbic’ brain re…
View article: Convolutional Neural Network for Measurement of Suspended Solids and Turbidity
Convolutional Neural Network for Measurement of Suspended Solids and Turbidity Open
The great potential of the convolutional neural networks (CNNs) provides novel and alternative ways to monitor important parameters with high accuracy. In this study, we developed a soft sensor model for dynamic processes based on a CNN fo…
View article: Source code of the model from A deep neural network model of the primate superior colliculus for emotion recognition
Source code of the model from A deep neural network model of the primate superior colliculus for emotion recognition Open
Python scripts for the model construction, evaluation, and relative dependencies.
View article: Digital Holographic Interferometry without Phase Unwrapping by a Convolutional Neural Network for Concentration Measurements in Liquid Samples
Digital Holographic Interferometry without Phase Unwrapping by a Convolutional Neural Network for Concentration Measurements in Liquid Samples Open
Convolutional neural networks (CNNs) and digital holographic interferometry (DHI) can be combined to improve the calculation efficiency and to simplify the procedures of many DHI applications. In DHI, for the measurements of concentration …
View article: Functional neuroanatomy of racial categorization from visual perception: A meta-analytic study
Functional neuroanatomy of racial categorization from visual perception: A meta-analytic study Open
View article: Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases Open
Tomato plants are highly affected by diverse diseases. A timely and accurate diagnosis plays an important role to prevent the quality of crops. Recently, deep learning (DL), specifically convolutional neural networks (CNNs), have achieved …
View article: Effects of Colored Light on Growth and Nutritional Composition of Tilapia, and Biofloc as a Food Source
Effects of Colored Light on Growth and Nutritional Composition of Tilapia, and Biofloc as a Food Source Open
Light stimulation and biofloc technology can be combined to improve the efficiency and sustainability of tilapia production. A 73-day pilot experiment was conducted to investigate the effect of colored light on growth rates and nutritional…
View article: Effect of the RGB Wavelengths of LED Light on Growth Rates of Nile Tilapia Fry in Biofloc Technology (BFT) Systems
Effect of the RGB Wavelengths of LED Light on Growth Rates of Nile Tilapia Fry in Biofloc Technology (BFT) Systems Open
View article: Functional neuroanatomy of blindsight revealed by activation likelihood estimation meta-analysis
Functional neuroanatomy of blindsight revealed by activation likelihood estimation meta-analysis Open
View article: Measurements of Concentration differences between Liquid Mixtures using Digital Holographic Interferometry
Measurements of Concentration differences between Liquid Mixtures using Digital Holographic Interferometry Open
We present an alternative method to detect and measure the concentration changes in liquid solutions. The method uses Digital Holographic Interferometry (DHI) and is based on measuring refractive index variations. The first hologram is rec…
View article: What lies beneath? Diffusion EAP-based study of brain tissue microstructure
What lies beneath? Diffusion EAP-based study of brain tissue microstructure Open