Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 81-100
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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 ... -
Guided Navigation Using Query Log Mining through Query Expansion
(IEEE, 2009)We introduce a method to help people to refine their search queries based on other people's similar queries. We compared two different methods of collaborative filtering on search logs of a popular e-commerce site to do ... -
Hybrid feature selection for text classification
(Tubitak Scientific & Technical Research Council Turkey, 2012)Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ... -
A Hybrid Fingerprint Based Indoor Positioning with Extreme Learning Machine
(IEEE, 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
A hybrid fingerprint based indoor positioning with extreme learning machine [Aşiri Ögrenme Makinesi ile Hibrid Parmakizi Tabanli iç Ortam Konumlandirma]
(Institute of Electrical and Electronics Engineers Inc., 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
The Impact of Feature Extraction and Selection on SMS Spam Filtering
(Kaunas University Technology, 2013)This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ... -
The Impact of Feature Selection on Urban Land Cover Classification
(2018)Many of the studies in the literature about land cover classification are focused on the feature extraction and classification rather than feature selection. In this paper, the impact of feature selection on urban land ... -
The impact of preprocessing on text classification
(Elsevier Sci LTD, 2014)Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification ... -
The Impact of Text Representation and Preprocessing on Author Identification
(2017)Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text ... -
Implementing IPv4+4 addressing architecture with IPv4 LSRR option for seamless peer-to-peer (P2P) communication
(Springer-Verlag Berlin, 2007)IPv4 architecture is well entrenched with Network Address Translation (NAT) boxes, which cause well-known problems for Peer-to-Peer (P2P) applications. IPv6 would enable end-to-end connectivity when deployed, but the ... -
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 ... -
An Improved Profile-based CF Scheme with Privacy
(IEEE Computer Soc, 2011)Traditional collaborative filtering (CF) systems widely employing k- nearest neighbor (kNN) algorithms mostly attempt to alleviate the contemporary problem of information overload by generating personalized predictions for ... -
Improving Accuracy of Multi-Criteria Collaborative Filtering By Normalizing User Ratings
(2017)Multi-criteria collaborative filtering schemes allow modeling user preferences in a more detailed manner by collecting ratings on various aspects of a product or service. Although preferences are expressed by numerical ... -
Improving privacy-preserving NBC-based recommendations by preprocessing
(2010)Providing accurate predictions efficiently with privacy is imperative for both customers and e-commerce vendors. However, privacy, accuracy, and performance are conflicting goals. Although producing referrals with privacy ... -
Induction Motor Fault Diagnosis via Current Analysis on Time Domain
(IEEE, 2009)This study proposes a novel approach to induction motor fault diagnosis through motor current analysis. Most of the previous works employing motor current analysis use spectral methods to extract required features for ... -
Induction motor fault diagnosis via current analysis on time domain [Zaman bölgesinde akim analiziyle i·ndüksiyon motoru hata tespiti]
(2009)This study proposes a novel approach to induction motor fault diagnosis through motor current analysis. Most of the previous works employing motor current analysis use spectral methods to extract required features for ... -
Integration of Classification Algorithms for Indoor Positioning System
(IEEE, 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
Integration of classification algorithms for indoor positioning system
(Institute of Electrical and Electronics Engineers Inc., 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
An intelligent control of chaos in Lorenz system with a dynamic wavelet network
(Springer-Verlag Berlin, 2004)This,paper proposes a dynamic wavelet network based intelligent adaptive controller design to regulate the chaotic states of the Lorenz equations. The "Dynamic Wavelet Network (DWN)" has lag dynamics, non-orthogonal mother ...