The estimation of the visual stimulus-based reaction time (RT) using subtle and complex information from the brain signals is still a challenge, as the behavioral response during perceptual decision making varies inor...
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Food texture is a complex property;various sensory attributes such as perceived crispiness and wetness have been identified as ways to quantify it. Objective and automatic recognition of these attributes has applicati...
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The important task of software quality assurance is failure prediction. Time series forecasting methods can be successfully used for this purpose. This paper aims to study and compare the effectiveness of software fai...
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The important task of software quality assurance is failure prediction. Time series forecasting methods can be successfully used for this purpose. This paper aims to study and compare the effectiveness of software failure prediction using different types of neural networks, in particular RBF neural network and recurrent neural networks (GRNN and LSTM). The Chromium browser failure dataset was used in this study. The dataset contains information about 11,001 bug reports for 759 consecutive days. Predictions were performed for 150-day, 500-day, and 759-day time series. Long time series of software failures cannot be approximated with satisfactory accuracy by an RBF neural network. Both GRNN and LSTM neural networks were able to predict the long software failures time series with RMSE values of 0.321 and 0.241 correspondingly.
The previous approaches have failed to effectually score the language proficiency of a non-native speakers especially in case of non-English languages which are complex and a slight change of pronunciation can alter t...
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Graph convolutional networks (GCNs) have achieved remarkable performance in a variety of network science learning tasks. However, theoretical analysis of such approaches is still at its infancy. Graph scattering trans...
With the aim of integrating gender and culture issues into computerscience and engineering curriculum, this work proposes the design of posters about Women pioneers in Computing science to break the gender gap. This ...
With the aim of integrating gender and culture issues into computerscience and engineering curriculum, this work proposes the design of posters about Women pioneers in Computing science to break the gender gap. This contribution justifies the use of illustrations due to their great pedagogical potential. In addition, this paper describes the selection process of the Women pioneers in Computing science and the criteria adopted for the graphic design of the posters, considering conceptual and communicative aspects as well as graphic, stylistic and aesthetic aspects.
This letter summarizes and proves the concept of bounded-input bounded-state (BIBS) stability for weight convergence of a broad family of in-parameter-linear nonlinear neural architectures as it generally applies to a...
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The importance of automated and objective monitoring of dietary behavior is becoming increasingly accepted. The advancements in sensor technology along with recent achievements in machine-learning-based signal-process...
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In this letter, we propose a control scheme for regulating the voltage in Direct Current (DC) power networks. In contrast with other works in the literature where the loads are assumed to be constant, we consider unce...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
In this letter, we propose a control scheme for regulating the voltage in Direct Current (DC) power networks. In contrast with other works in the literature where the loads are assumed to be constant, we consider uncertain time-varying loads described as the outputs of nonlinear dynamical exosystems with uncertain parameters. Based on the output regulation methodology, the proposed control scheme ensures the robust stability of the overall network and achieves voltage regulation in presence of impedance (Z), current (I), and power (P) loads. The simulation results illustrate excellent performance of the proposed control scheme.
This paper studies the feedback stabilization of abstract Cauchy problems with unbounded output operators by finite-dimensional controllers. Both necessary conditions and sufficient conditions for feedback stabilizabi...
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