Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 113, listelenen: 42-61
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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 ... -
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 ... -
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 ... -
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 ... -
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 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 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 ... -
IPv4 auto-configuration of multi-router Zeroconf networks with unique subnets
(Springer-Verlag Berlin, 2005)While administration may be necessary in today's large complex IP networks, it is unacceptable for emerging networks such as home networks, small office home office (SOHO) networks, ad-hoc networks, and many others. These ... -
Joint features regression for Cold-Start Recommendation on VideoLectures.Net
(CEUR-WS, 2011)Recommender systems are popular information filtering systems used in various domains. Cold-start problem is a key challenge in a recommender system. In newitem/existing-user case of the cold-start problem, which is ... -
A Lip Reading Application on MS Kinect Camera
(IEEE, 2013)Hearing-impaired people can read lips and lip reading applications may help them to improve their lip imitation skills. Speech of normal people can be recognized by even cellular phones but lip reading systems using only ... -
Methods of Privacy Preserving in Collaborative Filtering
(IEEE, 2017)Privacy considerations of individuals becomes more and more popular issue in recommender systems due to the increasing need for protecting confidential data. Even though users of recommender systems enjoy with personalized ...