Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 129-148
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Olasılıksal Kaba Kümeler Teorisi Yaklaşımı İle Ekg Verilerinin Sınıflandırılması
(2016)Sınıflandırma, bilgisayar mühendisliğinde bir veri kümesinin, uzmanlar yerine bilgisayarlar tarafından, özellikleri aracılığı ile gruplanması işlemidir. Kaba kümeler teorisi son yıllarda sınıflandırma problemlerinde gerekli ... -
On a dynamic wavelet network and its modeling application
(Springer-Verlag Berlin, 2003)This study presents a nonlinear dynamical system modeling with dynamic wavelet networks (DWNs). Wavelet is widely used in processing of signals and data. It has been also shown that wavelet can be effectively used in ... -
On Binary Similarity Measures for Privacy-Preserving Top-N Recommendations
(Scitepress, 2010)Collaborative filtering (CF) algorithms fundamentally depend on similarities between users and/or items to predict individual preferences. There are various binary similarity measures like Kulzinslcy, Sokal-Michener, Yule, ... -
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 ... -
On classification of abstracts obtained from medical journals
(SAGE Publications LTD, 2019)Classification of medical documents was mostly carried out on English data sets and these studies were performed on hospital records rather than academic texts. The main reasons behind this situation are the lack of publicly ... -
On constituent chunking for Turkish
(Elsevier Sci LTD, 2018)Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the ... -
On feature weighting and selection for medical document classification
(Springer Verlag, 2018)Medical document classification is still one of the popular research problems inside text classification domain. In this study, the impact of feature selection and feature weighting on medical document classification is ... -
On the Discovery of Fake Binary Ratings
(Assoc Computing Machinery, 2015)Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, ... -
On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering
(Springer Int Publishing Ag, 2016)Collaborative filtering systems provide recommendations for their users. Privacy is not a primary concern in these systems; however, it is an important element for the true user participation. Privacy-preserving collaborative ... -
On Two-Stage Feature Selection Methods for Text Classification
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature ... -
P2P collaborative filtering with privacy
(Tubitak Scientific & Technical Research Council Turkey, 2010)With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular The goal in CF is to generate predictions with decent accuracy, ... -
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 ... -
Parallel matrix multiplication for various implementations
(IEEE Computer Society, 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 ... -
Parallelizing edge drawing algorithm on CUDA
(2012)Parallel computing methods are very useful in speeding up algorithms that can be divided into independent subtasks. Traditional multi-processor architectures have limited use due to their high cost and difficulties of their ... -
Pcf: Projection-Based Collaborative Filtering
(Scitepress, 2010)Collaborative filtering (CF) systems are effective solutions for information overload problem while contributing web personalization. Different memory-based algorithms operating over entire data set have been utilized for ... -
PEL: A Predictive Edge Linking algorithm
(Academic Press Inc Elsevier Science, 2016)We propose an edge linking algorithm that takes as input a binary edge map generated by a traditional edge detection algorithm and converts it to a set of edge segments; filling in one pixel gaps in the edge map, cleaning ... -
Phase portrait modeling of a nonlinear system with a dynamic fuzzy network
(Springer, 2005)Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical nature of their some popular architectures. There exist problems ... -
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 Collaborative Filtering on Overlapped Ratings
(IEEE Computer Soc, 2013)To promote recommendation services through prediction quality, there are some privacy-preserving collaborative filtering (PPCF) solutions enabling e-commerce parties to collaborate on partitioned data. It is almost probable ...