This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 11...
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This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.
The precise detection of cephalometric landmarks on two-dimensional (2D) radiographs or three-dimensional (3D) computed tomography (CT) images is a fundamental step in various medical fields, especially in research on...
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In driving switched reluctance (SR) motors at high speeds, it is necessary to apply a high voltage during excitation and demagnetization. To clarify the usefulness of the proposed drive circuit, this paper focuses on ...
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In this study, we developed a novel surface-enhanced Raman scattering (SERS) substrate formed by depositing silver nanoparticles (AgNPs) on a silver thin film-coated photoresist (PR) microcone array. The semiconductor...
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The purpose of this study was to clarify the relationship between the internal curing effect of roof-tile waste aggregate and frost damage resistance, and to investigate the effects of the replacement ratio of roof-ti...
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To improve production processes, manufacturing companies have made efforts to implement Industry 4.0 technologies and spread the use of Lean Manufacturing (LM) tools. Besides, in addition to the improvements in produc...
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This paper explores the fault susceptibility of in-vehicle communication protocols. It proposes integrating aspect-oriented concepts to model common faults in the design phases of embedded systems and faults as non-fu...
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This paper explores the fault susceptibility of in-vehicle communication protocols. It proposes integrating aspect-oriented concepts to model common faults in the design phases of embedded systems and faults as non-functional requirements NFR. An analytical case study was conducted considering the tests of electrical fast transients (EFT) injection presented in previous works and based on data collected during these experiments. A fault tree analysis was conducted to determine the effect of the faults in the networked control system. Results based on a single-time approach reveal adverse effects (CAN: 0.622, CAN-FD: 0.352, FlexRay: 0.730). The research contributes to mitigating the impact of EFT faults on in-vehicle communication networks, enabling more specific fault analysis.
作者：
Balbino, L.S.Dantas, K.M.Neves, W.L.A.
Electrical Engineering Graduate Program Campina Grande Brazil
Department of Electrical Engineering PB Campina Grande Brazil
This paper presents an approach for choosing neutral reactors in transmission lines (TL) with shunt compensation. Data from the Brazilian Power Grid were used for digital simulations with ATPDraw, and a sensitivity an...
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Nowadays, industrial processes are creating increasing demands for optimized and efficient sensing systems and require high reliability and a short time interval for information delivery. This paper presents an embedd...
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