Buscar
Mostrando ítems 1-10 de 42
Assessing mineral profiles for rice flour fraud detection by principal component analysis based data fusion
(Elsevier, 2021-03)
The present work proposes to detect adulteration in rice flour using mineral profiles. Eighty-seven flour samples from two rice kinds (Indica and Japonica) plus thirty adulterated flour samples were analyzed by ICP OES. ...
Processamento digital de imagens para inferência de risco de doença fúngica da bananicultura
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2012-06-11)
The digital image processing has been used to solve a significant number of problems in the agricultural sector, especially with the evolution of remote sensing systems. This work presents a computational model based on ...
A sensor data fusion system based on k-Nearest neighbor pattern classification for structural health monitoring applications
(2017-02-21)
Civil and military structures are susceptible and vulnerable to damage due to the
environmental and operational conditions. Therefore, the implementation of technology to provide
robust solutions in damage identification ...
Classification of olive oils according to their cultivars based on second-order data using LC-DAD
(Elsevier Science, 2019-04)
Second-order data acquired using liquid chromatography coupled to a diode array detector were used to classify extra virgin olive oils samples according to their cultivars. The chromatographic fingerprints from the epoxidised ...
Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems
(Journal of Theoretical and Applied Information Technology, 2018)
Avaliação de cachaças de Morretes - PR empregando ferramentas quimiométricas: proje1ction pursuit e análise de componentes principais
(Universidade Tecnológica Federal do ParanáMedianeiraBrasilPrograma de Pós-Graduação em Tecnologia de AlimentosUTFPR, 2019-11-12)
Projection Pursuit (PP) and Principal Component Analysis (PCA) are unsupervised multivariate pattern recognition tools that were employed to evaluate twenty cachaça samples for sensory attributes. It was considered ...
Extraction of structural variables using LiDAR data combined with hyperspectral images for classification of upper canopy tree species in Brazilian Atlantic Forest
(Universidade Estadual Paulista (Unesp), 2021-11-08)
O objetivo principal desta tese foi explorar os dados LiDAR para estimar variáveis de inventário florestal e de diversidade em um remanescente de Floresta Estacional Semidecidual, também conhecida como Mata Atlântica de ...
Uso de sensoriamento remoto para identificação e mapeamento do paleodelta do Macarry, Amapá
(Universidade Federal do ParáBrasilInstituto de GeociênciasUFPAPrograma de Pós-Graduação em Geologia e Geoquímica, 2019)
Relevant kinematic feature selection to support human action recognition in MoCap data
(Springer, 2017)
This paper presents a feature selection comparison oriented to human action recognition only with the kinematic features of skeleton representation. For this purpose, three relevance methods are used to rank the contribution ...