Browsing Faculty of Engineering by Title
Now showing items 916-935 of 3117
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Feature extraction for enhancing data-driven urban building energy models
(European Council on Computing in Construction (EC3), 2023)Building energy demand assessment plays a crucial role in designing energy-efficient building stocks. However, most studies adopting a data-driven approach feel the deficiency of datasets with building-specific information ... -
Feature-based rationale management system for supporting software architecture adaptation
(World Scientific Publishing Co., 2012-11)Each software architecture design is the result of a broad set of design decisions and their justifications, that is, the design rationale. Capturing the design rationale is important for a variety of reasons such as ... -
FedADC: Accelerated federated learning with drift control
(IEEE, 2021)Federated learning (FL) has become de facto framework for collaborative learning among edge devices with privacy concern. The core of the FL strategy is the use of stochastic gradient descent (SGD) in a distributed manner. ... -
Feedback-free adaptive modulation selection algorithm for FSO systems
(IEEE, 2021-09)Free space optical (FSO) communication systems experience turbulence-induced fading. As a possible solution to mitigate the effects of fading, adaptive transmission that allows the adjustment of transmission parameters ... -
Femto hücre erişim noktaları için uygulama bazlı takvimleyicilerin önemi
(IEEE, 2012)In this paper, it is proposed that in order to guarantee a certain level of Quality of service (QoS) for different applications in a femtocell network, it is necessary to use application-based scheduling in femtocell access ... -
Field programmable gate arrays implementation of dual tree complex wavelet transform
(IEEE, 2015)Due to the inherent time-varying characteristics of physiological systems, most biomedical signals (BSs) are expected to have non-stationary character. Therefore, any appropriate analysis method for dealing with BSs should ... -
Field reconnaissance on seismic performance and functionality of Turkish industrial facilities affected by the 2023 Kahramanmaras earthquake sequence
(Springer, 2024-01)On February 6th, 2023, an earthquake sequence with moment magnitudes (Mw) of 7.8 and 7.5 rocked southern and eastern Turkiye, affecting 15 million-residents and a significant portion of Turkiye’s industrial community. In ... -
The fifth automated negotiating agents competition (ANAC 2014)
(Springer Science+Business Media, 2016)In May 2014, we organized the Fifth International Automated Negotiating Agents Competition (ANAC 2014) in conjunction with AAMAS 2014. ANAC is an international competition that challenges researchers to develop a successful ... -
Finding event correlations in federated wireless sensor networks
(IEEE, 2011)Event correlation engines help us find events of interest inside raw sensor data streams and help reduce the data volume, simultaneously. This paper discusses some of the challenges faced in finding event correlations over ... -
Finding relevant features for statistical speech synthesis adaptation
(European Language Resources Association, 2014-05)Statistical speech synthesis (SSS) models typically lie in a very high-dimensional space. They can be used to allow speech synthesis on digital devices, using only few sentences of input by the user. However, the adaptation ... -
Finecloud: Fine-grained cloud service advisory using machine learning
(IEEE, 2022)Motivated by real customer problems, we investigated utilization of cloud services at different layers including infrastructure (IaaS), application services (PaaS) and databases (DaaS). We found several issues such as ... -
Finite approximations in discrete-time stochastic control : quantized models and asymptotic optimality
(Birkhäuser Basel, 2018)In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces. It demonstrates how ... -
Finite approximations in discrete-time stochastic control quantized models and asymptotic optimality introduction and summary
(Birkhäuser Basel, 2018)Control and optimization of dynamical systems in the presence of stochastic uncertainty is a mature field with a large range of applications. A comprehensive treatment of such problems can be found in excellent books and ... -
Finite model approximations in decentralized stochastic control
(Birkhäuser Basel, 2018)In this chapter, we study the approximation of static and dynamic team problems using finite models which are obtained through the uniform discretization, on a finite grid, of the observation and action spaces of agents. ... -
Finite-action approximation of Markov decision processes
(Birkhäuser Basel, 2018)In this chapter, we study the finite-action approximation of optimal control policies for discrete-time Markov decision processes (MDPs) with Borel state and action spaces, under discounted and average cost criteria. One ... -
Finite-SNR diversity gain analysis of FSO systems over gamma-gamma fading channels with pointing errors
(IEEE, 2021-06)Free space optical (FSO) communication systems are subject to turbulence-induced fading as a result of fluctuations in the refractive index. Gamma-Gamma (GG) distribution is commonly used in the literature to characterize ... -
Finite-SNR diversity-multiplexing tradeoff for network coded cooperative OFDMA systems
(IEEE, 2017-03)Network-coded cooperation (NCC) is an effective method to improve the throughput efficiency in cooperative wireless networks. The combined use of orthogonal frequency division multiplexing (OFDM) with NCC has been further ... -
Finite-SNR DMT analysis for multisource multirelay NCC systems with imperfect CSI
(IEEE, 2016)Network coded cooperative (NCC) systems have recently attracted attention with their high spectral and power efficiency. In this paper, we investigate the information theoretical limits of NCC systems in the presence of ... -
Finite-state approximation of Markov decision processes
(Springer, 2018)In this chapter we study the finite-state approximation problem for computing near optimal policies for discrete-time MDPs with Borel state and action spaces, under discounted and average costs criteria. Even though existence ... -
Finite-state approximations to discounted and average cost constrained Markov decision processes
(IEEE, 2019-07)In this paper, we consider the finite-state approximation of a discrete-time constrained Markov decision process (MDP) under the discounted and average cost criteria. Using the linear programming formulation of the constrained ...
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