Browsing Computer Science by Title
Now showing items 188-207 of 549
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Fast one- and two-pick fixed-priority selection and muxing circuits
(IEEE, 2016)Priority encoders and arbiters usually drive multiplexers (muxes). Latency optimization of priority encoders and multiplexer trees has usually been handled separately in the literature. However, in some applications with ... -
Fault masking as a service
(Wiley, 2014-07)In SOA, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable because of system and/or network faults, leading to an increased error rate for the ... -
Fault masking as a service
(2013-01)In service-oriented architectures, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable due to system and/or network faults, leading to an increased ... -
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. ... -
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 ... -
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 ... -
The FIRMER-square contour algorithm
(Springer International Publishing, 2013)The recently proposed Square Contour Algorithm (SCA) provides a good solution to the blind equalization problem as it does not suffer from any type of phase rotation. However, its suitability to Code Division Multiple ... -
Forecasting multivariate time-series data using LSTM and mini-batches
(Springer, 2020)Multivariate time-series data forecasting is a challenging task due to nonlinear interdependencies in complex industrial systems. It is crucial to model these dependencies automatically using the ability of neural networks ... -
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