Tag: civil engineering

A new study demonstrates that synthetic data generation significantly improves the accuracy of machine learning models in predicting the self-healing ...

A comprehensive bibliometric analysis of 752 journal articles reveals how global sustainable concrete research expanded dramatically after 2018 while transitioning ...

Researchers evaluated eight machine learning models on high-performance concrete mixtures, demonstrating that optimized gradient boosted algorithms and interpretability frameworks accurately ...

Researchers have engineered an optimized neural network architecture to deliver real-time visual detection of cracks and water seepage across deep ...

A study in Discover Materials finds that treating water with magnetic fields up to 1.8 Tesla increases concrete compressive strength ...

Researchers have integrated a random forest machine learning model into a digital architecture framework to rapidly evaluate and optimize one-sided ...

Researchers developed three-dimensional deep learning architectures that predict shrinkage stresses and displacements in monolithic concrete slabs within seconds using voxel ...

A hybrid stacking ensemble of XGBoost, LightGBM and CatBoost with domain-informed features predicts concrete compressive strength with an R² of ...

Researchers evaluated an Indian construction enterprise using a fuzzy logic assessment framework that measured readiness for human-centric, resilient, and sustainable ...

SPIE has named University of Pittsburgh professor Piervincenzo Rizzo the recipient of the 2027 Nondestructive Evaluation Lifetime Achievement Award for ...