Browsing Mühendislik ve Doğa Bilimleri Fakültesi by Title
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Throughput Maximization for Full Duplex Wireless Powered Communication Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)In this paper, we consider a full duplex wireless powered communication network where multiple users with RF energy harvesting capabilities communicate to a hybrid energy and information access point. An optimization ... -
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 ... -
Towards energy-efficient MAC protocols
(International Institute of Informatics and Systemics IIIS, 2014)During the past two decades the ICT (Information and Communication Technology) has become an integral part of our lives with exponentially increasing user interest and the vast number of applications being developed and ... -
Traffic shaping schemes for improving QoS in data networks
(2012)As the typical characteristics of traffic in data networks are bursty which is difficult to handle traffic shaping schemes are used for regulating the average rate and hurstiness of a flow of data that enters into the ... -
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 ... -
Transition and equilibration of neutral atmospheric boundary layer flow in one-way nested large-eddy simulations using the weather research and forecasting model
(2013)The Weather Research and Forecasting Model permits finescale large-eddy simulations (LES) to be nested within coarser simulations an approach that can generatemore accurate turbulence statistics and improve other aspects ... -
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 ... -
Transmembrane helix 6 observed at the interface of beta(2)AR homodimers in blind docking studies
(Taylor & Francis Inc, 2015)Peptide- and protein-protein dockings were carried out on beta(2)-adrenergic receptor (beta(2)AR) to confirm the presence of transmembrane helix 6 (TM6) at the interface region between two beta(2)AR monomers thereby its ... -
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 ... -
Trellis coding for spatial modulation [Uzaysal modulasyon i?çi?n kafes kodlama]
(2011)In this study by combining trellis coding with spatial modulation (SM) a new multiple-input multiple output (MIMO) communication scheme called trellis coded spatial modulation (TC-SM) is proposed. For uncorrelated Rayleigh ... -
True variable-depth milling
(Elsevier B.V., 2020)When tool wears during machining, cost of the process increases. Rapid tool wear leads to even further contributions to process cost and hence must be taken well care of. Among the many forms of tool wear, notch wear is ... -
Turkey - Romania subsea transmission cable investment: Time for reconsideration?
(2013)Transmission investment is important for integrating electricity markets operated by different countries/transmission system operators (TSOs). Turkey and Romania have proposed a transmission cable linking the transmission ... -
Turkish public preferences for energy
(Elsevier Science, 2018)Public concern over energy supplies prices sustainability and efficiency has emerged as a major issue around the world. Yet most of what we know regarding public opinion on energy comes from North America and Europe. This ... -
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 ... -
Universality in gelation of epoxy acrylate with various photoinitiators: a photo differential scanning calorimetric study
(Taylor & Francis Ltd, 2008)Photo-differential scanning calorimetric (Photo-DSC) technique was used to study the gelation of P-3038 (epoxy acrylate (EA) 75% and tripropyleneglycoldiacrylate (TPGDA) 25%) in the presence of various thioxanthone-based ... -
Universality of elasticity on PAAM-NIPA copolymer gels
(EDP Sciences, 2015)Polyacrylamide (PAAm)-N-isopropylacrylamide (NIPA) copolymers were prepared via free radical crosslinking copolymerization with different molar of NIPA varying in the range between 0 and 2 M. The mechanical properties of ... -
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 ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning
(Springer, 2020)Techniques used for spatio-temporal anomaly detection in an unsupervised settings has attracted great attention in recent years. It has extensive use in a wide variety of applications such as: medical diagnosis, sensor ... -
Using machine learning classifiers to identify the critical proteins in Down syndrome
(Association for Computing Machinery, 2018)Pharmacotherapies of intellectual disability (ID) are largely unknown as the abnormalities at the complex molecular level which causes ID are difficult to understand. Down syndrome (DS) which is the prevalent cause of ID ...