Jefferson S. Almeida
Orcid: 0000-0002-2687-6030
According to our database1,
Jefferson S. Almeida
authored at least 18 papers
between 2017 and 2023.
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Bibliography
2023
EdgeFireSmoke++: A novel lightweight algorithm for real-time forest fire detection and visualization using internet of things-human machine interface.
Expert Syst. Appl., July, 2023
2022
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2022
EdgeFireSmoke: A Novel Lightweight CNN Model for Real-Time Video Fire-Smoke Detection.
IEEE Trans. Ind. Informatics, 2022
2020
An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environments.
Comput. Commun., 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
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
2019
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques.
Pattern Recognit. Lett., 2019
A new effective and powerful medical image segmentation algorithm based on optimum path snakes.
Appl. Soft Comput., 2019
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis.
Comput. Intell. Neurosci., 2018
A novel mobile robot localization approach based on classification with rejection option using computer vision.
Comput. Electr. Eng., 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
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
2017
A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images.
Expert Syst. Appl., 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 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