Alfredo Rosado-Muñoz

Professor

University of Valencia

Spain

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Professor Alfredo Rosado-Muñoz is a faculty member at the University of Valencia, Spain. His research focuses on the intersection of deep learning and fuzzy logic with applications in medical diagnostics, including pneumonia detection in chest X-rays and tumor detection in brain MRIs. He has published extensively on automated quality control systems, image feature extraction, and real-time diagnosis algorithms in biomedical applications.

Alfredo Rosado-Muñoz

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Articles (19)

Combining Deep Learning Architectures with Fuzzy Logic for Robust Pneumonia Detection in Chest X-Rays

Hybrid CNN-Fuzzy Approach for Automatic Identification of Ventricular Fibrillation and Tachycardia

Automated Quality Control of Candle Jars via Anomaly Detection Using OCSVM and CNN-Based Feature Extraction

Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction

Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications

Using Ensemble of Hand-Feature Engineering and Machine Learning Classifiers for Refining the Subthalamic Nucleus Location from Micro-Electrode Recordings in Parkinson’s Disease

Estimación del estado de carga de una batería de litio con redes neuronales y validación con FPGA-en-lazo

Design and Validation of a Bidirectional DC-DC Converter Control for Electric Vehicles Using FPGA-in-the-Loop Methodology

Efficient Extraction of Deep Image Features Using a Convolutional Neural Network (CNN) for Detecting Ventricular Fibrillation and Tachycardia

A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan

Special Issue on Real-Time Diagnosis Algorithms in Biomedical Applications and Decision Support Tools

Sensing Wood Moisture in Heritage and Wooden Buildings: A New Sensing Unit With an Integrated LoRa-Based Monitoring System

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

Ventricular Fibrillation and Tachycardia Detection Using Features Derived from Topological Data Analysis

Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques

Hyperspectral image classification using CNN: Application to industrial food packaging

Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot

Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System

A novel pilot study of automatic identification of EMF radiation effect on brain using computer vision and machine learning

Collaborators (3)

Rafael Garcia-Gil

Ana Vazquez Alejos

Juan Ruiz-Alzola

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