Browsing by Keywords "Neural networks"
Now showing items 1-20 of 60
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Activity recognition invariant to sensor orientation with wearable motion sensors
(MDPI AG, 2017)Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ... -
Analog CMOS implementation of cellular neural networks
(IEEE, 1993)The analog CMOS circuit realization of cellular neural networks with transconductance elements is presented. This realization can be easily adapted to various types of applications in image processing just by choosing the ... -
Applying deep learning in augmented reality tracking
(IEEE, 2016-11-12)An existing deep learning architecture has been adapted to solve the detection problem in camera-based tracking for augmented reality (AR). A known target, in this case a planar object, is rendered under various viewing ... -
Approximating the stochastic growth model with neural networks trained by genetic algorithms
(Bilkent University, 2006)In this thesis study, we present a direct numerical solution methodology for the onesector nonlinear stochastic growth model. Rather than parameterizing or dealing with the Euler equation, like other methods do, our ... -
Artificial neural network modeling and simulation of in-vitro nanoparticle-cell interactions
(American Scientific Publishers, 2014)In this research a prediction model for the cellular uptake efficiency of nanoparticles (NPs), which is the rate that NPs adhere to a cell surface or enter a cell, is investigated via an artificial neural network (ANN) ... -
Associative memory design using overlapping decompositions
(Pergamon Press, 2001)This paper discusses the use of decomposition techniques in the design of associative memories via artificial neural networks. In particular, a disjoint decomposition which allows an independent design of lower-dimensional ... -
Automatic radar antenna scan type recognition in electronic warfare
(Institute of Electrical and Electronics Engineers, 2011-10-04)We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), ... -
Balancing computation load and communication overhead with multilevel self organizing maps
(Bilkent University, 2001-07) -
BELS: a broad ensemble learning system for data stream classification
(Bilkent University, 2021-12)Data stream classification has become a major research topic due to the increase in temporal data. One of the biggest hurdles of data stream classification is the development of algorithms that deal with evolving data, ... -
Beyond Bouma's window: how to explain global aspects of crowding?
(Public Library of Science, 2019-05)In crowding, perception of an object deteriorates in the presence of nearby elements. Although crowding is a ubiquitous phenomenon, since elements are rarely seen in isolation, to date there exists no consensus on how to ... -
Circuit partitioning using mean field annealing
(Elsevier, 1995)Mean field annealing (MFA) algorithm, proposed for solving combinatorial optimization problems, combines the characteristics of neural networks and simulated annealing. Previous works on MFA resulted with successful mapping ... -
Classification of leg motions by processing gyroscope signals
(IEEE, 2009)In this study, eight different leg motions are classified using two single-axis gyroscopes mounted on the right leg of a subject with the help of several pattern recognition techniques. The methods of least squares, Bayesian ... -
Classifying human leg motions with uniaxial piezoelectric gyroscopes
(2009)This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted ... -
Comparative analysis of different approaches to target classification and localization with sonar
(IEEE, 2001-08)The comparison of different classification and fusion techniques was done for target classification and localization with sonar. Target localization performance of artificial neural networks (ANN) was found to be better ... -
Comparative analysis of different approaches to target differentiation and localization with sonar
(Elsevier, 2003)This study compares the performances of different methods for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of interest for intelligent ... -
Control of subsonic cavity flows by neural networks-analytical models and experimental validation
(American Institute of Aeronautics and Astronautics, 2005)Flow control is attracting an increasing attention of researchers from a wide spectrum of specialties because of its interdisciplinary nature and the associated challenges. One of the main goals of The Collaborative Center ... -
Çarpmasız yapay sinir ağı
(IEEE, 2015-05)Bu bildiride çarpma işlemi kullanmadan oluşturulan bir Yapay Sinir Ağı (YSA) sunulmaktadır. Girdi vektörleri ve YSA katsayılarının iç çarpımları çarpmasız bir vektör işlemiyle hesaplanmıştır. Yapay sinir ağının eğitimi ... -
Deep learning based channel equalization for MIMO ISI channels
(Bilkent University, 2022-09)Future wireless communications is expected to bring significant changes along with a number of emerging technologies such as 5G, virtual reality, edge computing, and IoT. These developments pose unprecedented demands in ... -
Düşme tespiti için sınıflandırma yöntemlerinin karşılaştırılması
(IEEE, 2014-04)Bu bildiride giyilebilir yapıda olan ve üç boyutlu ölçüm alabilen bir ivmeölçerin çıktılarını kullanarak düşme tespiti yapan farklı algoritmaların karşılaştırılması yapılmıştır. Karşılaştırma amacıyla destek vektör makineleri, ... -
Effect of fractional Fourier transformation on time-frequency distributions belonging to the Cohen class
(Institute of Electrical and Electronics Engineers, 1996-02)We consider the Cohen (1989) class of time-frequency distributions, which can be obtained from the Wigner distribution by convolving it with a kernel characterizing that distribution. We show that the time-frequency ...
