Pedro Pedrosa Rebouças Filho
Orcid: 0000-0002-1878-5489Affiliations:
- Instituto Federal de Educação, Ciencia e Tecnologia do Ceará, Limoeiro do Norte, Brazil
- Federal University of Ceará, Fortaleza, Brazil (former)
According to our database1,
Pedro Pedrosa Rebouças Filho
authored at least 121 papers
between 2008 and 2024.
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Bibliography
2024
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024
Graph-Based EEG Analysis for Parkinson's Disease Classification: A Residual Neural Network Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024
A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication.
Proceedings of the International Joint Conference on Neural Networks, 2024
Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach.
CoRR, 2023
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning.
Proceedings of the International Joint Conference on Neural Networks, 2023
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images.
Proceedings of the International Joint Conference on Neural Networks, 2023
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2022
Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images.
Multim. Syst., 2022
New fully automatic approach for tissue identification in histopathological examinations using transfer learning.
IET Image Process., 2022
New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT Images.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A novel transfer learning approach for the classification of histological images of colorectal cancer.
J. Supercomput., 2021
Pattern Recognit. Lett., 2021
IEEE J. Sel. Areas Commun., 2021
A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system.
J. Real Time Image Process., 2021
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning.
IEEE CAA J. Autom. Sinica, 2021
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images.
Appl. Soft Comput., 2021
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators.
Appl. Soft Comput., 2021
Proceedings of the Systems, Signals and Image Processing - 28th International Conference, 2021
Brazilian Mercosur License Plate Detection and Recognition Using Haar Cascade and Tesseract OCR on Synthetic Imagery.
Proceedings of the Intelligent Systems Design and Applications, 2021
Driver Behavior Analysis: Abnormal Driving Detection Using MLP Classifier Applied to Outdoor Camera Images.
Proceedings of the Intelligent Systems Design and Applications, 2021
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2021
Gender-based approach to estimate the human body fat percentage using Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation.
Sensors, 2020
A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system.
Pattern Recognit. Lett., 2020
Automatic classification of pulmonary diseases using a structural co-occurrence matrix.
Neural Comput. Appl., 2020
A high-efficiency energy and storage approach for IoT applications of facial recognition.
Image Vis. Comput., 2020
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook.
Inf. Fusion, 2020
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning.
Int. J. Hybrid Intell. Syst., 2020
Future Gener. Comput. Syst., 2020
Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation.
Future Gener. Comput. Syst., 2020
Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis.
Eng. Appl. Artif. Intell., 2020
Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence.
Circuits Syst. Signal Process., 2020
Circuits Syst. Signal Process., 2020
An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environments.
Comput. Commun., 2020
Comput. Medical Imaging Graph., 2020
Comput. Medical Imaging Graph., 2020
An effective approach for CT lung segmentation using mask region-based convolutional neural networks.
Artif. Intell. Medicine, 2020
Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
New level set approach based on Parzen estimation for stroke segmentation in skull CT images.
Soft Comput., 2019
Classification of EEG signals to detect alcoholism using machine learning techniques.
Pattern Recognit. Lett., 2019
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques.
Pattern Recognit. Lett., 2019
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier.
Neural Comput. Appl., 2019
Control of singularity trajectory tracking for robotic manipulator by genetic algorithms.
J. Comput. Sci., 2019
Int. J. E Health Medical Commun., 2019
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification.
Future Gener. Comput. Syst., 2019
Future Gener. Comput. Syst., 2019
Future Gener. Comput. Syst., 2019
Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour.
Cogn. Syst. Res., 2019
Deep learning IoT system for online stroke detection in skull computed tomography images.
Comput. Networks, 2019
Ultrasonic sensor signals and self organized mapping with nearest neighbors for the microstructural characterization of thermally-aged Inconel 625 alloy.
Comput. Ind., 2019
A new effective and powerful medical image segmentation algorithm based on optimum path snakes.
Appl. Soft Comput., 2019
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning.
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural Network.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Comput. Medical Imaging Graph., 2018
A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis.
Comput. Intell. Neurosci., 2018
Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the frequency domain.
Comput. Electr. Eng., 2018
A novel mobile robot localization approach based on classification with rejection option using computer vision.
Comput. Electr. Eng., 2018
A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning.
Comput. Electr. Eng., 2018
IEEE Access, 2018
IEEE Access, 2018
IEEE Access, 2018
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications.
IEEE Access, 2018
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018
Toward an Embedded Application to Identify Degradation in Energized Polymeric Insulators using Discrete Wavelet Transform.
Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018
Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence Matrix.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional Images.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Analysis of human tissue densities: A new approach to extract features from medical images.
Pattern Recognit. Lett., 2017
Embedded real-time speed limit sign recognition using image processing and machine learning techniques.
Neural Comput. Appl., 2017
Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images.
Medical Image Anal., 2017
A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images.
Expert Syst. Appl., 2017
New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities.
Comput. Methods Programs Biomed., 2017
Comput. Intell. Neurosci., 2017
Proceedings of the VII Brazilian Symposium on Computing Systems Engineering, 2017
A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature Extractor.
Proceedings of the Intelligent Systems Design and Applications, 2017
A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments.
Proceedings of the Intelligent Systems Design and Applications, 2017
A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017
Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Segmentation and Visualization of the Lungs in Three Dimensions Using 3D Region Growing and Visualization Toolkit in CT Examinations of the Chest.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence Matrix.
Proceedings of the Computer Analysis of Images and Patterns, 2017
2016
A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour Method.
Expert Syst. Appl., 2016
Lung Segmentation in Chest Computerized Tomography Images Using the Border Following Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
2015
Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy.
Sensors, 2015
2014
Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation - A systematic evaluation on synthetic and real images.
Expert Syst. Appl., 2014
2013
Métodos de contornos ativos Crisp adaptativo 2D e 3D aplicados na segmentação dos pulmões em imagens de tomografia computadorizada do tórax.
PhD thesis, 2013
2008
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008