Browsing Fakülteler by Title
Now showing items 1257-1276 of 1641
-
QoS-Constrained Semi-Persistent Scheduling of Machine-Type Communications in Cellular Networks
(IEEE, 2019)The dramatic growth of machine-to-machine (M2M) communication in cellular networks brings the challenge of satisfying the quality of service (QoS) requirements of a large number of M2M devices with limited radio resources. ... -
Quality of health care and patient satisfaction: An exploratory investigation of the 5Qs model at Turkey
(2010)Purpose - The aim of this research is to examine the major factors affecting patients' perception of cumulative satisfaction and to address the question whether patients in Istanbul evaluate quality of health care to be ... -
R&D Activity and Financing Constraints: Evidence from Turkey
(Savez Ekonomista Vojvodine, 2020)We analyze the relationship between financing constraints and firms' R&D activity using a rich and comprehensive firm-level balance sheet and income statement data set of manufacturing firms in Turkey for the period 1996 ... -
Radio frequency identification system optimisation models for lifecycle of a durable product
(Taylor & Francis Ltd, 2010)We address the implementation of radio frequency identification (RFID) technology to support and manage durable products over their entire lifecycle with a focus on optimising the RFID tagging system. We develop general ... -
Railway heritage of Istanbul and the Marmaray Project
(Taylor & Francis Inc, 2012)This study explores the significance of Istanbul's railway heritage and discusses the criteria for evaluating the historical importance architectural value and social issues surrounding the city's rail system leading into ... -
Random CapsNet forest model for imbalanced malware type classification task
(Elsevier, 2021)Behavior of malware varies depending the malware types, which affects the strategies of the system protection software. Many malware classification models, empowered by machine and/or deep learning, achieve superior ... -
Ranking Protein-Protein Binding Using Evolutionary Information and Machine Learning
(Association for Computing Machinery, 2017)Discriminating native-like complexes from false-positives with high accuracy is one of the biggest challenges in protein-protein docking. The relationship between various favorable intermolecular interactions (e.g. Van ... -
Rap hiphop Kreuzberg: Scripts of/for migrant youth culture in the WorldCity Berlin
(Telos Press Ltd, 2004)[Abstract Not Available] -
Rapid Economic Growth and Its Sustainability in China
(T.C. Dışişleri Bakanlığı Stratejik Araştırmalar Merkezi, 2015)China has recorded remarkable growth rates for three and a half decades. Recently, the annual growth rate has slowed down and is projected to decline gradually to 5 % by 2030. This article examines how high economic ... -
Rapidly Time-Varying Channel Estimation for Full-Duplex Amplify-and-Forward One-Way Relay Networks
(IEEE-INST Electrical Electronics Engineers Inc, 2018)Estimation of both cascaded and residual self-interference (RSI) channels and a new training frame structure are considered for full-duplex (FD) amplify-and-forward (AF) one-way relay networks with rapidly time-varying ... -
Rapidly Varying Sparse Channel Tracking with Hybrid Kalman-OMP Algorithm
(Springer, 2019)It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled ... -
A re-configuring sliding-mode controller with a ustable robustness
(Pergamon-Elsevier Science Ltd, 2004)In this paper a controller design method for underwater vehicles is presented which is based on re-configuration of a sliding-mode controller in case of disturbances caused by shallow water conditions. The disturbance ... -
Re-Considering The Linkage Between The Antecedents and Consequences of Happiness
(Elsevier Science Bv, 2016)A growing number of studies examine the antecedents of happiness but only a handful of them appear to undertake an analysis of its consequences. Employing a unique cross-sectional data set of 413 adults we examine the ... -
Real frequency design of Pi and T matching networks with complex terminations
(Institute of Electrical and Electronics Engineers Inc., 2018)In this paper real frequency design of Pi and T matching networks with complex terminations is studied. Generally the generator and load termination impedances are given as measurement values. So they can be regarded as a ... -
Realistic Channel Estimation of IEEE 802.11af Systems in TV White Space
(Institute of Electrical and Electronics Engineers Inc., 2020)This work investigates the realistic performance of IEEE 802.11af systems released for the efficient spectrum utilization of TV white space (TVWS). These systems are operated over many contiguous or non-contiguous channels ... -
Realization of ideal filter characteristics via genetic algorithm
(2011)In this paper realization of ideal filter characteristics via genetic algorithm has been studied. The filter is defined as a lossless two-port terminated normalized source and load resistances and the coefficients of its ... -
Received signal strength based least squares lateration algorithm for indoor localization
(Pergamon-Elsevier Science Ltd, 2018)Following the success of accurate location estimation for outdoor environments locating targets in indoor environments has become an important research area. Accurate location estimation of targets for indoor environments ... -
Recent Advances in Applied and Computational Mathematics: ICACM-IAM-METU
(Elsevier, 2014)[Abstract Not Available] -
Recent Advances in the Application of the Shell Model Monte Carlo Approach to Nuclei
(IOP Publishing Ltd, 2015)The shell model Monte Carlo (SMMC) method is a powerful technique for calculating the statistical and collective properties of nuclei in the presence of correlations in model spaces that are many orders of magnitude larger ... -
Recent developments in the shell model Monte Carlo approach to nuclei
(IOP Publishing Ltd, 2012)The shell model Monte Carlo (SMMC) approach provides a powerful method for the microscopic calculation of statistical and collective nuclear properties in model spaces that are many orders of magnitude larger than those ...
