Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 72-91
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An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
(Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
Feature Selection and Comparison of Classification Algorithms For Intrusion Detection
(2018)The increase in the frequency of use of the Internet causes the attacks on computer networks to increase. Such phenomena also increase the importance of intrusion detection systems. In this paper, KDD Cup 99 dataset is ... -
Feature selection for power quality event classification [Güç kalitesi olaylarinin siniflandirilmasi için öznitelik seçimi]
(2008)Power quality events may result in interruption or malfunctioning of electrical equipments that are fed through the voltage line. Detection of such cases by monitoring the voltage waveform remains an important engineering ... -
Finding the State Sequence Maximizing P(O, I vertical bar lambda) on Distributed HMMs with Privacy
(IEEE, 2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in finance, marketing, bio-informatics, speech recognition, ... -
Finding the state sequence maximizing P(O, I\?) on distributed HMMs with privacy
(2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in nance, marketing, bio-informatics, speech recognition, ... -
Frequent Pattern Mining Over Movie Plot Keywords
(Amer Soc Mechanical Engineers, 2012)In this work we run Mahout's FP-Growth implementation, which is a frequent pattern mining algorithm, on Internet Movie Database (IMDb) movie keywords. Results of mining keyword-keyword relations revealed that there exist ... -
From existing trends to future trends in privacy-preserving collaborative filtering
(Wiley Periodicals, Inc, 2015)The information overload problem, also known as infobesity, forces online vendors to utilize collaborative filtering algorithms. Although various recommendation methods are widely used by many electronic commerce sites, ... -
A Fuzzy Wavelet Neural Network Model for System Identification
(IEEE, 2009)In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part ... -
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
(IEEE-Inst Electrical Electronics Engineers Inc, 2010)This paper presents fuzzy wavelet neural network (FWNN) models for prediction and identification of nonlinear dynamical systems. The proposed FWNN models are obtained from the traditional Takagi-Sugeno-Kang fuzzy system ... -
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 ...