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Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Intrusion detection system using optimum-path forest
(2011-12-01)
Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. Neural networks and Support Vector Machines have been also ...
Face recognition using local mapped pattern and genetic algorithms
(2018-08-15)
Facial recognition is one of the most used biometric technologies in automated systems which ensure a person’s identity for authorizes access and monitoring. The acceptance of face use has several advantages over other ...
Fast fault diagnosis in power transformers using optimum-path forest
(2012-10-01)
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled ...
Fast robot voice interface through optimum-path forest
(2012-10-01)
Voice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural interfaces to communicate with machines. In this work, we have introduced a recent machine learning ...
Intrusion detection in computer networks using optimum-path forest clustering
(2012-12-01)
Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling ...
Robust and fast vowel recognition using optimum-path forest
(2010-11-08)
The applications of Automatic Vowel Recognition (AVR), which is a sub-part of fundamental importance in most of the speech processing systems, vary from automatic interpretation of spoken language to biometrics. State-of-the-art ...
Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal
(2012-02-13)
Duplex and superduplex stainless steels are class of materials of a high importance for engineering purposes, since they have good mechanical properties combination and also are very resistant to corrosion. It is known as ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...