This paper examines the idea that attraction to music is generated at a cognitive level through the formation and activation of networks of interlinked "nodes." Although the networks involved are vast, the basic mechanism for activating the links is relatively simple. Two comprehensive cognitive-behavioral models of musical engagement are examined with the aim of identifying the underlying cogn...

Due to competitive environment, companies want to create a durable relationship with their customers. Building effective customer relationship management, companies should estimate customer lifetime value (CLV). CLV is normally calculated in terms of recency, frequency and monetary (RFM) variables. Allocating resource to customers’ segments regarding to communication channel based on CLV can be...

Customer feedback is used to understand customer requirements. Early design phases require the consideration of items including manufacturing, the environment, and sustainability management. Therefore, it is crucial that eco-efficiency is taken into account in the early design phases. Traditionally, eco-efficiency is considered only in terms of eco-design issues, not customer requirements based...

BACKGROUND Long-term success of endodontic surgeries is often influenced by the type of root-end filling material (RFM). The aim of present study was to compare the marginal adaptation of two different RFM, cold ceramic (CC) and mineral trioxide aggregate (MTA), using scanning electron microscope (SEM). MATERIALS AND METHODS About 20 extracted human single-rooted teeth were collected and stor...

<span lang="EN-US">We proposed an approach of retailer segmentation using a hybrid swarm intelligence algorithm and recency frequency monetary (RFM)-location model to develop tailored marketing strategy for pharmacy industry distribution company. We used sales data plug it into MATLAB implement ant clustering K-means, then the results were analyzed RFM-location calculate each clusters’ cu...

Target selection in direct marketing is an important data mining problem for which several modeling techniques can be used. Several data mining techniques have been applied in the last years to target selection. Logistic regression, neural networks, decision trees and fuzzy modeling methods are the most utilized techniques. However, they have never been explicitly compared up to know. This pape...

Spatial discretization of the domain and/or boundary conditions prevents application of many numerical techniques to physical problems with time-varying geometry and boundary conditions. By contrast, the R-functions method (RFM) for solving boundary and initial value problems discretizes not the domain but the underlying functional space, while the prescribed boundary conditions are satisfied e...

The importance of high-resolution and continuous hydrologic data for monitoring predicting water levels is crucial sustainable management. Monitoring Total Water Storage (TWS) over large areas by using satellite images such as Gravity Recovery Climate Experiment (GRACE) with coarse resolution (1°) acceptable. However, TWS changes a small area challenging. In this study, we used the Random Fores...

A pattern descriptor invariant to rotation, scaling, translation (RST), and robust to additive noise is proposed by using the Radon, Fourier, and Mellin transforms. The Radon transform converts the RST transformations applied on a pattern into transformations in the radial and angular slices of the Radon transform data. These beneficial properties of the Radon transform make it an useful interm...

This paper presents and compares different modifications made to the ComplexRF optimization algorithm with the aim of improving its performance for computationally expensive models with few variables. The modifications reduce the required number of objective function evaluations by creating and using surrogate models of the objective function iteratively during the optimization process. The cho...