ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Education
Technology
Computing
Research
Economy
Social Sciences
Computing
Architecture and Urbanism
Pure sciences
Public health
all records (75)

Languages
English
Portuguese
Spanish
German
French

Countries
Indonesia
USA
Brazil
South Africa
Ukraine
Canada
Italy
Switzerland
Austria
Spain
all records (77)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
162.389  Articles
1 of 16.240 pages  |  10  records  |  more records»
The recognition images of cattle brand in an automatic way is a necessity to governmental organs responsible for this activity. To help this process, this work presents a method that consists in using Bag of Visual Words for extracting of characteristics ... see more

The recognition images of cattle brand in an automatic way is a necessity to governmental organs responsible for this activity. To help this process, this work presents a method that consists in using Bag of Visual Words for extracting of characteristics ... see more

This paper proposes a river stage modeling approach combining maximal overlap discrete wavelet transform (MODWT), support vector machines (SVMs) and genetic algorithm (GA). The MODWT decomposes original river stage time series into sub-time series (detail... see more

Rapid and non-destructive adulteration detection is of particular importance to oil industries. This paper presents an application of visible and near-infrared spectroscopy (VNIR) for detection of adulteration levels in olive oil. Sunflower oil was used a... see more

Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices. ... see more

Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices. ... see more

This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify abnormal variable(s) when Shewhart-type multivariate control charts based on ... see more

Este artigo investiga uma abordagem para o problema da detecção de mudanças em imagens multitemporais de sensoriamento remoto empregando Support Vector Machines (SVM) com o uso dokernel polinomial e do kernel RBF (kernel função de base radial). Para os ex... see more

 This paper presents a Multi-class Support Vector Machine (SVM) based Pattern Recognition (PR) approach for static security assessment in power systems. The multi-class SVM classifier design is based on the calculation of a numeric index called the s... see more

1 of 16.240 pages  |  10  records  |  more records»