Browsing Computer Science by Title
Now showing items 182-201 of 549
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Extraction of novel features based on histograms of mfccs used in emotion classification from generated original speech dataset
(Kauno Technologijos Universitetas, 2020-02-17)This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ... -
FAS: introducing a service for avoiding faults in composite services
(Springer Science+Business Media, 2012)In service-oriented architectures, composite services depend on a set of partner services to perform the required tasks. These partner services may become unavailable due to system and/or network faults, leading to an ... -
Fashion image retrieval with capsule networks
(IEEE, 2019)In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ... -
Fast and efficient implementation of lightweight crypto algorithm PRESENT on FPGA through processor instruction set extension
(IEEE, 2019)As Internet of Things (IoT) technology becomes widespread, the importance of information security increases. PRESENT algorithm is a major lightweight symmetric-key encryption algorithm for IoT devices. Compared to the ... -
Fast and efficient terrain-aware motion planning for exploration rovers
(IEEE, 2021)This paper presents a fast, energy-efficient, and low computational cost traversal solution on sloped terrain. The use of grid-based search algorithms requires high computational power and takes a long time because almost ... -
A fast circuit topology for finding the maximum of n k-bit numbers
(IEEE, 2013)Finding the value and/or address (position) of the maximum element of a set of binary numbers is a fundamental arithmetic operation. Numerous systems, which are used in different application areas, require fast (low-latency) ... -
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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