Yayıncı "Pergamon-Elsevier Science LTD" Makale Koleksiyonu için listeleme
Toplam kayıt 12, listelenen: 1-12
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A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models
(Pergamon-Elsevier Science LTD, 2005)This paper investigates applications of dynamic neural network (DNN) models for adaptive load frequency controller designs in power systems. The proposed dynamic neural network models have lag dynamics and dynamical elements ... -
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network
(Pergamon-Elsevier Science LTD, 2003)Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)-a network with unconstrained connectivity and with dynamic fuzzy processing units called 'feurons', have been given. DFN model has ... -
An improved global feature selection scheme for text classification
(Pergamon-Elsevier Science LTD, 2016)Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature ... -
An improved privacy-preserving DWT-based collaborative filtering scheme
(Pergamon-Elsevier Science LTD, 2012)Collaborative filtering (CF) is one of the most efficient techniques to produce personalized recommendations and to deal with the information overload of modern times. Although CF techniques have immensely useful filtering ... -
Modified descend curvature based fixed form fuzzy optimal control of nonlinear dynamical systems
(Pergamon-Elsevier Science LTD, 2006)In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or direct-descend-curvature algorithm) with a modification called "modified descend controller ... -
On circular traffic sign detection and recognition
(Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
Robustness analysis of arbitrarily distributed data-based recommendation methods
(Pergamon-Elsevier Science LTD, 2016)Due to different shopping routines of people, rating preferences of many customers might be partitioned between two parties. Since two different e-companies might sell products from the same range to the identical set of ... -
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
(Pergamon-Elsevier Science LTD, 2019)Collaborative filtering is an emerging recommender system technique that aims guiding users based on other customers preferences with behavioral similarities. Such correspondences are located based on preference history ... -
Robustness analysis of privacy-preserving model-based recommendation schemes
(Pergamon-Elsevier Science LTD, 2014)Privacy-preserving model-based recommendation methods are preferable over privacy-preserving memory-based schemes due to their online efficiency. Model-based prediction algorithms without privacy concerns have been ... -
The search for optimal feature set in power quality event classification
(Pergamon-Elsevier Science LTD, 2009)The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large ... -
Secure seamless peer-to-peer (P2P) UDP communication using IPv4 LSRR option and IPv4+4 addresses
(Pergamon-Elsevier Science LTD, 2009)The current structure of the Internet, with hosts behind network address translation (NAT) boxes, Causes well-known problems for P2P applications. There are several proposals, e.g., STUN, UPnP, MIDCOM, TURN among others, ... -
Text classification using genetic algorithm oriented latent semantic features
(Pergamon-Elsevier Science LTD, 2014)In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to obtain better representation of documents in text classification. The proposed approach consists of feature selection and feature ...