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Jaime Pablo Orrego-Oñate, Kelly Clifton, Ricardo Hurtubia
Pág. 105 - 129
We propose a method to estimate mode choice models, where preference parameters are sensitive to the spatial context of the trip origin, challenging traditional assumptions of spatial homogeneity in the relationship between travel modes and the built env...
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Utkarsh Bhardwaj, Angelo Palos Teixeira and C. Guedes Soares
This paper assesses the uncertainty of the partial safety factors for the design of corroded pipelines against burst failure due to the variability associated with the strength model selection. First, 10 calibrated burst pressure prediction models for co...
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Jianhe Li and Suohai Fan
In recent years, graph neural networks (GNNs) have played an important role in graph representation learning and have successfully achieved excellent results in semi-supervised classification. However, these GNNs often neglect the global smoothing of the...
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Dimitris C. Tsamatsoulis, Christos A. Korologos and Dimitris V. Tsiftsoglou
This study aims to approximate the optimum sulfate content of cement, applying maximization of compressive strength as a criterion for cement produced in industrial mills. The design includes tests on four types of cement containing up to three main comp...
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Cheng Kang, Xujing Yao and Daniel Novak
In this paper, we propose a Fuzzy Window with the Gaussian Processed Label (FW-GPL) method to mitigate the overlap problem in the neighboring ordinal category when scoring images. Many published conventional methods treat this challenge as a traditional ...
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