Browsing Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu by Language "eng"
Now showing items 221-231 of 231
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Throughput maximization in discrete rate based full duplex wireless powered communication networks
(John Wıley & Sons Ltd, 2020)In this study, we consider a discrete rate full-duplex wireless powered communication network. We characterize a novel optimization framework for sum throughput maximization to determine the rate adaptation and transmission ... -
Thyroid and breast cancer disease diagnosis using Fuzzy-neural networks
(2009)In this paper a new hybrid structure in which Neural Network and Fuzzy Logic are combined is proposed and its algorithm is developed. Fuzzy-CSFNN Fuzzy-MLP and Fuzzy-RBF structures are constituted and their performances ... -
Transfer matrix factorization based synthesis of resistively terminated LC ladder networks
(2009)In this paper a transfer matrix factorization based synthesis algorithm for resistively terminated low-pass LC ladder networks is presented. In the algorithm component value of the extracted element and the reflection ... -
Transitional Butterworth-Chebyshev Filters
(IEEE, 2019)Filters which are studied in this paper have properties that lie between those of the Butterworth and Chebyshev filters. So it is appropriate to call this kind of filters as transitional Butterworth-Chebyshev filters. In ... -
Transmitter source location estimation using crowd data
(Pergamon-Elsevier Science Ltd, 2018)The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have ... -
UNIFAC application to water-1-propanol-n-amyl alcohol and n-amyl acetate ternaries
(2006)Liquid-liquid equilibrium (LLE) data for water-1-propanol-n-amyl alcohol and water-1-propanol-n-amyl acetate ternaries were measured at T=298.2 K. The UNIFAC model was used to correlate the experimental data. A comparison ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ... -
VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
(IEEE, 2000)A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op-amp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. ... -
Wavelet-based cognitive SCMA system for mmWave 5G communication networks
(Inst Engineering Technology-IET, 2017)Fifth generation (5G) communication networks can achieve high spectral efficiency using sparse code multiple access (SCMA) scheme when large number of users are trying to transmit their data simultaneously. The sparsity ... -
Weight Exchange in Distributed Learning
(IEEE, 2016)Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. ... -
Why do students prefer search engines over academic databases
(IEEE Computer Society, 2013)Students' preference of search engines in online information retrieval has been a problem for several reasons. This work tries to share our experience about the reasons why they do not utilize academic databases. Past ...