Yayıncı "IEEE" Bilgisayar Mühendisliği Bölümü için listeleme
Toplam kayıt 44, listelenen: 21-40
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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 ... -
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 ... -
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 ... -
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 ... -
Moving Object Tracking Within Surveillance Video Sequences Based On EDContours
(IEEE, 2015)We present a technique to track moving object in a video sequences created by still camera. Contours of each frame is detected using EDContours. Background model obtained with three point estimation technique is created ... -
A Multi-Criteria Item-based Collaborative Filtering Framework
(IEEE, 2014)Collaborative filtering methods are utilized to provide personalized recommendations for users in order to alleviate information overload problem in different domains. Traditional collaborative filtering methods operate ... -
Nonlinear System Modeling and Control with Dynamic Fuzzy Wavelet Neural Network
(IEEE, 2015)This paper proposes a fuzzy neural network model which is dynamic and uses wavelet functions in its processing units. Because of that this new model is called as dynamic fuzzy wavelet neural network (DFWNN). In the DFWNN ... -
Nonlinear System Modeling With Dynamic Adaptive Neuro-Fuzzy Inference System
(IEEE, 2014)This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of ... -
A Novel Multi-Sensor and Multi-Topological Database for Indoor Positioning on Fingerprint Techniques
(IEEE, 2015)In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ... -
A Parallel Huffman Coder on the CUDA Architecture
(IEEE, 2014)We present a parallel implementation of the widely-used entropy encoding algorithm, the Huffman coder, on the NVIDIA CUDA architecture. After constructing the Huffman codeword tree serially, we proceed in parallel by ... -
Parallel Matrix Multiplication for Various Implementations
(IEEE, 2013)It has become increasingly common to see that supercomputing applications harness the massive parallelism of graphics cards to speed up computations. In this study, an analysis concerning to the time necessity for four ... -
Privacy Risks for Multi-Criteria Collaborative Filtering Systems
(IEEE, 2017)In case that individuals feel their privacy is violated while using any recommender system, they might be willing to declare incorrect information or even completely refuse to use such services. To relieve customer concerns, ... -
Privacy-Preserving Concordance-based Recommendations on Vertically Distributed Data
(IEEE, 2012)Recommender systems are attractive components of e-commerce. Customers apply such systems to get help for choosing the appropriate product to purchase. To provide accurate and dependable referrals, recommender systems ... -
Quantification of Projective Distortion for Fiducial Markers
(IEEE, 2013)The aim of this study is to quantify the projective distortion of candidate quadrilaterals found in a square-framed fiducial marker detection algorithm. Based on the quantified value, candidates can be eliminated in such ... -
Real-time Edge Segment Detection with Edge Drawing Algorithm
(IEEE, 2011)Edge Drawing (ED) is an edge detection method that works by computing a set of anchor points, which are most likely to be edge elements, and linking them with a predefined set of rules which we call smart routing. ED can ... -
A Robust Css Corner Detector Based on the Turning Angle Curvature of Image Gradients
(IEEE, 2013)In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from the contour gradients of the image. In general, curvature is computed with the pixel locations of the ... -
A Robust Multi-Criteria Collaborative Filtering Algorithm
(IEEE, 2018)Collaborative filtering recommender systems assist individuals to discover relevant products or services that they might be interested in a large set of alternatives by analyzing the collected preferences. Recent research ...