Alfredo Rosado-Muñoz
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View article: Robust Industrial Surface Defect Detection Using Statistical Feature Extraction and Capsule Network Architectures
Robust Industrial Surface Defect Detection Using Statistical Feature Extraction and Capsule Network Architectures Open
Automated quality control is critical in modern manufacturing, especially for metallic cast components, where fast and accurate surface defect detection is required. This study evaluates classical Machine Learning (ML) algorithms using ext…
View article: Combining Deep Learning Architectures with Fuzzy Logic for Robust Pneumonia Detection in Chest X-Rays
Combining Deep Learning Architectures with Fuzzy Logic for Robust Pneumonia Detection in Chest X-Rays Open
Early and accurate detection of pneumonia from chest X-ray images is essential for improving treatment and clinical outcomes. Medical imaging datasets often exhibit class imbalance and uncertainty in feature extraction, which complicates c…
View article: Hybrid CNN-Fuzzy Approach for Automatic Identification of Ventricular Fibrillation and Tachycardia
Hybrid CNN-Fuzzy Approach for Automatic Identification of Ventricular Fibrillation and Tachycardia Open
Ventricular arrhythmias such as ventricular fibrillation (VF) and ventricular tachycardia (VT) are among the leading causes of sudden cardiac death worldwide, making their timely and accurate detection a critical task in modern cardiology.…
View article: Combining Deep Learning Architectures with Fuzzy Logic for Robust Pneumonia Detection in Chest X-Rays
Combining Deep Learning Architectures with Fuzzy Logic for Robust Pneumonia Detection in Chest X-Rays Open
Early and accurate detection of pneumonia from chest X-ray images is essential for improving treatment and clinical outcomes. However, medical imaging datasets often exhibit class imbalance and considerable uncertainty in the extracted ima…
View article: Automated Quality Control of Candle Jars via Anomaly Detection Using OCSVM and CNN-Based Feature Extraction
Automated Quality Control of Candle Jars via Anomaly Detection Using OCSVM and CNN-Based Feature Extraction Open
Automated quality control plays a critical role in modern industries, particularly in environments that handle large volumes of packaged products requiring fast, accurate, and consistent inspections. This work presents an anomaly detection…
View article: Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction
Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction Open
The early detection of brain tumors is critical for improving clinical outcomes and patient survival. However, medical imaging datasets frequently exhibit class imbalance, posing significant challenges for traditional classification algori…
View article: Control de calidad en envases alimentarios cerámicos mediante aprendizaje semi-supervisado con SVM de clase única (OCSVM)
Control de calidad en envases alimentarios cerámicos mediante aprendizaje semi-supervisado con SVM de clase única (OCSVM) Open
La detección de grietas, fisuras y defectos en los envases alimentarios resulta de especial relevancia dadas las implicaciones de salud pública. Un envase defectuoso en el mercado puede suponer intoxicaciones a los consumidores. En cambio,…
View article: Fish Oil Supplementation Attenuates Offspring’s Neurodevelopmental Changes Induced by a Maternal High-Fat Diet in a Rat Model
Fish Oil Supplementation Attenuates Offspring’s Neurodevelopmental Changes Induced by a Maternal High-Fat Diet in a Rat Model Open
Background/Objectives: A maternal high-fat diet (HFD) impairs brain structure in offspring. In turn, fish oil (FO) rich in n-3 polyunsaturated fatty acids (PUFAs) has neuroprotective effects. Therefore, we investigated whether maternal HFD…
View article: Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications
Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications Open
The food industry continuously prioritizes methods and technologies to ensure product quality and safety. Traditional approaches, which rely on conventional algorithms that utilize predefined features, have exhibited limitations in represe…
View article: Potential Noninvasive Biomarkers to Assess the Aging Process
Potential Noninvasive Biomarkers to Assess the Aging Process Open
Aging is a process preserved in all living beings, progressive over time and inexorable. Despite the existence of several theories that attempt to explain changes associated with aging, scientists have not managed to satisfactorily explain…
View article: Using Ensemble of Hand-Feature Engineering and Machine Learning Classifiers for Refining the Subthalamic Nucleus Location from Micro-Electrode Recordings in Parkinson’s Disease
Using Ensemble of Hand-Feature Engineering and Machine Learning Classifiers for Refining the Subthalamic Nucleus Location from Micro-Electrode Recordings in Parkinson’s Disease Open
When pharmaceutical treatments for Parkinson’s Disease (PD) are no longer effective, Deep Brain Stimulation (DBS) surgery, a procedure that entails the stimulation of the Subthalamic Nucleus (STN), is another treatment option. However, the…
View article: Estimación del estado de carga de una batería de litio con redes neuronales y validación con FPGA-en-lazo
Estimación del estado de carga de una batería de litio con redes neuronales y validación con FPGA-en-lazo Open
Los vehículos eléctricos presentan una alternativa viable para reducir las emisiones de gases tóxicos en las concentraciones urbanas y para disminuir los efectos de los gases de invernadero. La batería de los vehículos eléctricos debe ser …
View article: Design and Validation of a Bidirectional DC-DC Converter Control for Electric Vehicles Using FPGA-in-the-Loop Methodology
Design and Validation of a Bidirectional DC-DC Converter Control for Electric Vehicles Using FPGA-in-the-Loop Methodology Open
Electric vehicles (EVs) are an alternative to fossil-fuel-powered vehicles. However, high prices make them inaccessible for mass market adoption. Power electronics are a key enabler of vehicle electrification. In this work, the design of a…
View article: Special Issue on Real-Time Diagnosis Algorithms in Biomedical Applications and Decision Support Tools
Special Issue on Real-Time Diagnosis Algorithms in Biomedical Applications and Decision Support Tools Open
The use of automatic support tools in daily clicnical practice is increasing continuously [...]
View article: Efficient Extraction of Deep Image Features Using a Convolutional Neural Network (CNN) for Detecting Ventricular Fibrillation and Tachycardia
Efficient Extraction of Deep Image Features Using a Convolutional Neural Network (CNN) for Detecting Ventricular Fibrillation and Tachycardia Open
To safely select the proper therapy for ventricular fibrillation (VF), it is essential to distinguish it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required therapy is not the same, an erroneous detect…
View article: A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan
A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan Open
The increasing challenges of agricultural processes and the growing demand for food globally are driving the industrial agriculture sector to adopt the concept of ‘smart farming’. Smart farming systems, with their real-time management and …
View article: Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients
Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients Open
MER data consist of brain signal in different depths when DBS surgery is being done. In each depth, a data file is created, with different duration depending on the depth, and up to three channels. Data come from 14 patients (9 males and 5…
View article: Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients
Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients Open
MER data consist of brain signal in different depths when DBS surgery is being done. In each depth, a data file is created, with different duration depending on the depth, and up to three channels. Data come from 14 patients (9 males and 5…
View article: A Novel Approach of a Low-Cost UWB Microwave Imaging System with High Resolution Based on SAR and a New Fast Reconstruction Algorithm for Early-Stage Breast Cancer Detection
A Novel Approach of a Low-Cost UWB Microwave Imaging System with High Resolution Based on SAR and a New Fast Reconstruction Algorithm for Early-Stage Breast Cancer Detection Open
In this article, a new efficient and robust approach—the high-resolution microwave imaging system—for early breast cancer diagnosis is presented. The core concept of the proposed approach is to employ a combination of a newly proposed dela…
View article: Sensing Wood Moisture in Heritage and Wooden Buildings: A New Sensing Unit With an Integrated LoRa-Based Monitoring System
Sensing Wood Moisture in Heritage and Wooden Buildings: A New Sensing Unit With an Integrated LoRa-Based Monitoring System Open
The rapid development of LoRa and LoRaWAN received a wide interest in research in order to understand the performance of this technologies for various Internet of Things (IoT) applications. In this article, we propose an IoT system for sma…
View article: Ventricular Fibrillation and Tachycardia Detection Using Features Derived from Topological Data Analysis
Ventricular Fibrillation and Tachycardia Detection Using Features Derived from Topological Data Analysis Open
A rapid and accurate detection of ventricular arrhythmias is essential to take appropriate therapeutic actions when cardiac arrhythmias occur. Furthermore, the accurate discrimination between arrhythmias is also important, provided that th…
View article: Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques
Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques Open
A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have b…
View article: Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot
Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot Open
Today, industrial automation is being applied in a wide range of fields. The initial modeling of robots and mechanical systems together with simulation results in optimal systems. In this study, the designed system is simulated to obtain t…
View article: Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System
Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System Open
This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resi…
View article: Experimental Analysis of IoT Networks Based on LoRa/LoRaWAN under Indoor and Outdoor Environments: Performance and Limitations
Experimental Analysis of IoT Networks Based on LoRa/LoRaWAN under Indoor and Outdoor Environments: Performance and Limitations Open
Nowadays, Internet of Things (IoT) has multiple applications in different fields. This concept allows physical devices to connect to the internet in order to establish a strong infrastructure that facilitates many device control and monito…
View article: Real-Time Localization of Epileptogenic Foci EEG Signals: An FPGA-Based Implementation
Real-Time Localization of Epileptogenic Foci EEG Signals: An FPGA-Based Implementation Open
The epileptogenic focus is a brain area that may be surgically removed to control of epileptic seizures. Locating it is an essential and crucial step prior to the surgical treatment. However, given the difficulty of determining the localiz…
View article: Food tray sealing fault detection using hyperspectral imaging and PCANet
Food tray sealing fault detection using hyperspectral imaging and PCANet Open
View article: Novel Wood Resistance Measurement Method Reducing the Initial Transient Instabilities Arising in DC Methods Due to Polarization Effects
Novel Wood Resistance Measurement Method Reducing the Initial Transient Instabilities Arising in DC Methods Due to Polarization Effects Open
A novel method for measuring the electrical resistance in wood is presented. It is based on applying an Alternating Current (AC) to two electrodes rammed into the wood. The method reduces the transient time for value stabilization. In case…
View article: Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkinson’s Disease
Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkinson’s Disease Open
Deep Brain Stimulation (DBS) of the Subthalamic Nuclei (STN) is the most used surgical treatment to improve motor skills in patients with Parkinson’s Disease (PD) who do not adequately respond to pharmacological treatment, or have related …
View article: Digital background calibration algorithm and its FPGA implementation for timing mismatch correction of time-interleaved ADC
Digital background calibration algorithm and its FPGA implementation for timing mismatch correction of time-interleaved ADC Open
Sample time error can degrade the performance of time-interleaved analog to digital converters (TIADCs). A fully digital background algorithm is presented in this paper to estimate and correct the timing mismatch errors between four interl…