A newly published living guidelines framework in EPJ Research Infrastructures outlines comprehensive strategies to minimize the environmental impact of large ...
Researchers developed an explainable machine learning model that accurately predicts the hydraulic permeability of sustainable fly ash pervious concrete while ...
Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes ...
An unsupervised AI framework detects bridge condition changes from a single accelerometer by fusing time and frequency features and comparing ...
A stacking ensemble machine learning framework combining three diverse base algorithms and Lasso regression accurately predicts the compressive strength of ...
A new study reports that hybrid broad learning systems optimized by parameter-free metaheuristics predict concrete compressive strength with MAPE below ...
Researchers combined a strengthened whale optimization algorithm with a kernel extreme learning machine to predict ultra-high-performance concrete strength, achieving test ...
Researchers developed a causal-diagnosis and causal-chain-based treatment framework to systematically address and significantly reduce water leakage in operational mountainous highway ...
A new Scientific Reports study presents an interpretable enhanced linear regression model that predicts concrete compressive strength with a nested ...
A ten-semester audit of a Malaysian civil engineering program found students excel at communication and collaboration in sustainability courses while ...
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