Buscar
Mostrando ítems 1-10 de 1150
Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture
(2010-07-02)
This paper presents an improvement of the SCMAS architecture aimed at securing SQL-run databases. The main goal of such architecture is the detection and prevention of SQL injection attacks. The improvement consists in the ...
Application of ARX neural networks to model the Rate of Penetration of petroleum wells drilling
(Acta Press Anaheim, 2006-01-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
Estimation of inside-bark diameter and heartwood diameter for Tectona grandis Linn. trees using artificial neural networks
(European Journal of Forest Research, 2018)
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models
This work presents the modeling and prediction of cases of COVID-19 infection in Mexico through mathematical and computational models using only the confirmed cases provided by the daily technical report
COVID-19 MEXICO ...
Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models
(Institute of Electrical and Electronics Engineers (IEEE), 2014-03-01)
Identification and online monitoring of the dresser wear are necessary to guarantee a desired wheel surface and improve the effectiveness of grinding process to a satisfactory level. However, tool wear is a complex phenomenon ...
Transfer learning between texture classification tasks using convolutional neural networks
(IEEE, 2015)
Convolutional Neural Networks (CNNs) have set the state-of-the-art in many computer vision tasks in recent years. For this type of model, it is common to have millions of parameters to train, commonly requiring large ...
Software development productivity prediction of individual projects applying a neural network
(2013)
Machine learning techniques have been applied in the software engineering field and their models could be applied for predicting the development productivity of software developers. In this paper, a neural network model ...
Software development productivity prediction of individual projects applying a neural network
(2013)
Machine learning techniques have been applied in the software engineering field and their models could be applied for predicting the development productivity of software developers. In this paper, a neural network model ...