A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis
Electronic health records (EHRs) are providing increased access to healthcare data that can
be made available for advanced data analysis. This can be used by the healthcare …
be made available for advanced data analysis. This can be used by the healthcare …
Optimization of improved suspension system with inerter device of the quarter-car model in vibration analysis
A Kuznetsov, M Mammadov, I Sultan… - Archive of Applied …, 2011 - Springer
In this paper, we analyze an improved suspension system with the incorporated inerter
device of the quarter-car model to obtain optimal design parameters for maximum comfort …
device of the quarter-car model to obtain optimal design parameters for maximum comfort …
Optimization of a quarter-car suspension model coupled with the driver biomechanical effects
A Kuznetsov, M Mammadov, I Sultan… - Journal of Sound and …, 2011 - Elsevier
In this paper a Human–Vehicle–Road (HVR) model, comprising a quarter-car and a
biomechanical representation of the driver, is employed for the analysis. Differential …
biomechanical representation of the driver, is employed for the analysis. Differential …
A hybrid wrapper–filter approach to detect the source (s) of out-of-control signals in multivariate manufacturing process
With modern data-acquisition equipment and on-line computers used during production, it is
now common to monitor several correlated quality characteristics simultaneously in …
now common to monitor several correlated quality characteristics simultaneously in …
Coverage in WLAN with minimum number of access points
When designing wireless communication systems, it is very important to know the optimum
numbers and locations for the access points (APs). The impact of incorrect placement of APs …
numbers and locations for the access points (APs). The impact of incorrect placement of APs …
Dynamical systems described by relational elasticities with applications
M Mammadov, A Rubinov, J Yearwood - Continuous Optimization: Current …, 2005 - Springer
In this paper we describe a new method for modelling dynamical systems assuming that the
information about the system is presented in the form of a data set. The main idea is to …
information about the system is presented in the form of a data set. The main idea is to …
Modified neural network algorithms for predicting trading signals of stock market indices
The aim of this paper is to present modified neural network algorithms to predict whether it is
best to buy, hold, or sell shares (trading signals) of stock market indices. Most commonly …
best to buy, hold, or sell shares (trading signals) of stock market indices. Most commonly …
Aplicação de redes neurais na tomada de decisão no mercado de ações.
JA Gambogi - 2013 - teses.usp.br
Este trabalho apresenta um sistema de trading que toma decisões de compra e de venda
do índice Standard & Poors 500, na modalidade seguidor de tendência, mediante o …
do índice Standard & Poors 500, na modalidade seguidor de tendência, mediante o …
A new clustering algorithm based on hybrid global optimizationbased on a dynamical systems approach algorithm
Many methods for local optimization are based on the notion of a direction of a local descent
at a given point. A local improvement of a point in hand can be made using this direction. As …
at a given point. A local improvement of a point in hand can be made using this direction. As …
Structure learning of Bayesian Networks using global optimization with applications in data classification
S Taheri, M Mammadov - Optimization Letters, 2015 - Springer
Bayesian Networks are increasingly popular methods of modeling uncertainty in artificial
intelligence and machine learning. A Bayesian Network consists of a directed acyclic graph …
intelligence and machine learning. A Bayesian Network consists of a directed acyclic graph …