Feature Extraction
Mostrando 1-12 de 104 artigos, teses e dissertações.
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1. Identifying olive oil fraud and adulteration using machine learning algorithms
As olive oil (OO) is more expensive than other vegetable oils, it is usually adulterated by blending it with more economic edible oils such as cottonseed oil (CSO), canola oil (CO), and soybean oil (SO). This research aimed to determine the fatty acid compositions obtained as a result of blending different proportions of CSO, CO and SO with OO using a gas ch
Química Nova. Publicado em: 2022
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2. Global and Local Oriented Gabor Texture Histogram for Person Re-identification
ABSTRACT: Automated person re-identification is a key process in global distributed camera systems. This paper proposes a new feature, the Global and Local-Oriented Gabor Texture Histogram (GLOGTH), for person re-identification. GLOGTH is a combination of the local texture and global structure information of a given input image. This feature aims at represen
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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3. Breast density pattern characterization by histogram features and texture descriptors
Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of breast cancer, in medical practice, the breast density classification is merely visual and dependent on professional experience, making this task very subjective
Res. Biomed. Eng.. Publicado em: 06/04/2017
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4. Internal control for real-time polymerase chain reaction based on MS2 bacteriophage for RNA viruses diagnostics
BACKGROUND Real-time reverse transcription polymerase chain reaction (RT-PCR) is routinely used to detect viral infections. In Brazil, it is mandatory the use of nucleic acid tests to detect hepatitis C virus (HCV), hepatitis B virus and human immunodeficiency virus in blood banks because of the immunological window. The use of an internal control (IC) is
Mem. Inst. Oswaldo Cruz. Publicado em: 06/04/2017
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5. A fully automatic method for recognizing hand configurations of Brazilian sign language
Abstract Introduction Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help
Res. Biomed. Eng.. Publicado em: 2017-03
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6. Effect of shrimp shells milling on the molar mass of chitosan
Abstract Shrimp shells are a raw material rich in chitin, a precursor of chitosan biopolymer. The variables of processing (demineralization, deproteination and deacetylation) can be manipulated to determine the main characteristics of chitosan, the degree of deacetylation (DD), and average molar mass. This study evaluated the influence of one of the unit ope
Polímeros. Publicado em: 2017-03
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7. Reticular pattern detection in dermoscopy: an approach using Curvelet Transform
Abstract Introduction Dermoscopy is a non-invasive in vivo imaging technique, used in dermatology in feature identification, among pigmented melanocytic neoplasms, from suspicious skin lesions. Often, in the skin exam is possible to ascertain markers, whose identification and proper characterization is difficult, even when it is used a magnifying lens and a
Res. Biomed. Eng.. Publicado em: 07/07/2016
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8. Feature Extraction of Structures in Sea Water Using Self-Organizing Maps and Electromagnetic Waves
RESUMO O uso do algorítmo de Mapas Auto-Organizáveis (SOM) para extração de características e redução de dimensionalidade aplicado à detecção de objetos subaquáticos em regiões marinhas foi apresentado. Simulações em Elementos Finitos foram utilizadas para a geração de um modelo direto da região de estudo e, a partir destes dados, um Mapa Au
TEMA (São Carlos). Publicado em: 2015-12
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9. Detection of movement intention using EEG in a human-robot interaction environment
Introduction : This paper presents a detection method for upper limb movement intention as part of a brain-machine interface using EEG signals, whose final goal is to assist disabled or vulnerable people with activities of daily living. Methods EEG signals were recorded from six naïve healthy volunteers while performing a motor task. Every volunteer remain
Res. Biomed. Eng.. Publicado em: 27/11/2015
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10. Comparison of the influence of stimuli color on Steady-State Visual Evoked Potentials
IntroductionThe main idea of a traditional Steady State Visually Evoked Potentials (SSVEP)-BCI is the activation of commands through gaze control. For this purpose, the retina of the eye is excited by a stimulus at a certain frequency. Several studies have shown effects related to different kind of stimuli, frequencies, window lengths, techniques of feature
Res. Biomed. Eng.. Publicado em: 29/09/2015
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11. Diabetes classification using a redundancy reduction preprocessor
Introduction Diabetes patients can benefit significantly from early diagnosis. Thus, accurate automated screening is becoming increasingly important due to the wide spread of that disease. Previous studies in automated screening have found a maximum accuracy of 92.6%. Methods This work proposes a classification methodology based on efficient coding of the i
Res. Biomed. Eng.. Publicado em: 2015-04
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12. Pulmonary crackle characterization: approaches in the use of discrete wavelet transform regarding border effect, mother-wavelet selection, and subband reduction
Introduction Crackles are discontinuous, non-stationary respiratory sounds and can be characterized by their duration and frequency. In the literature, many techniques of filtering, feature extraction, and classification were presented. Although the discrete wavelet transform (DWT) is a well-known tool in this area, issues like signal border extension, moth
Res. Biomed. Eng.. Publicado em: 2015-04