Volume 2, Issue 3
مرور بر اساس
ارسال های اخیر
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The Gaussian process modelling module in UQLab
(Pouyan Press, 2018-07-01)We introduce the Gaussian process (GP) modelling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modelling into any uncertainty quantification ...
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Artificial neural networks prediction of compaction characteristics of black cotton soil stabilized with cement kiln dust
(Pouyan Press, 2018-07-01)Artificial neural networks (ANNs) that has been successfully applied to structural and most other disciplines of civil engineering is yet to be extended to soil stabilization aspect of geotechnical engineering. As such, ...
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Process Parameter Optimization for minimizing Springback in Cold Drawing Process of Seamless Tubes using Advanced Optimization Algorithms
(Pouyan Press, 2018-07-01)In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in further quality of end ...
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Application of ANN in Estimating Discharge Coefficient of Circular Piano Key Spillways
(Pouyan Press, 2018-07-01)Among all solutions for disrupted vortex formation in shaft spillways, an innovative one called Circular Piano Key Spillway, based upon piano key weir principles, has been experimented less. In this study, the potential ...
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Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network
(Pouyan Press, 2018-07-01)The selection of appropriate type and grade of concrete for a particular application is the critical step in any construction project. Workability & compressive strength are the two significant parameters that need special ...
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Refined Simplified Neutrosophic Similarity Measures Based on Trigonometric Function and Their Application in Construction Project Decision-Making
(Pouyan Press, 2018-07-01)Refined simplified neutrosophic sets (RSNSs) are appropriately used in decision-making problems with sub-attributes considering their truth components, indeterminacy components and falsity components independently. This ...
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Connectivity and Flowrate Estimation of Discrete Fracture Network Using Artificial Neural Network
(Pouyan Press, 2018-07-01)Hydraulic parameters of rock mass are the most effective factors that affect rock mass behavioral and mechanical analysis. Aforementioned parameters include intensity and density of fracture intersections, percolation ...



