crossrefComputer-Aided Civil and Infrastructure Engineering2026-07-01Cited by 1A maintenance-aware machine learning framework for network-level highway pavement condition predictionJin Hwan Kim, Guk Gon Song, Youngguk SeoSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
crossrefComputer-Aided Civil and Infrastructure Engineering2026-07-01An explainable framework integrating machine learning and life cycle assessment for balancing performance, carbon emissions, and costs in asphalt mixturesMeng Guo, Mengmeng Zhou, Xiuli Du, Johannes MirwaldSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarComputer-Aided Civil and Infrastructure Engineering2026-08-01Corrigendum to “Parameterized quantum circuit-enhanced graph neural networks for seismic damage prediction: Advantages under data-scarce and noisy conditions” [Computer-Aided Civil and Infrastructure Engineering 49 (2026) 100101]Donwoo Lee, Seungjae LeeView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
crossrefComputer-Aided Civil and Infrastructure EngineeringReal-time multi-step prediction of tunnel boring machine parameters using a decomposition-enhanced dual-stream deep learning modelHoule Zhang, Yongxin Wu, Mao Ye, Hanzhi Yang, Yue HouSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
crossrefComputer-Aided Civil and Infrastructure Engineering2026-08-01Transfer learning-powered physics-informed neural network for forecasting and inversion analysis of rainfall-induced landslidesShian Cao, Lin Li, Weibing GongSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
crossrefComputer-Aided Civil and Infrastructure Engineering2026-07-01Iterative Image Annotation for Deep Learning-based Concrete Damage Segmentation through Human-AI CollaborationVahidreza Gharehbaghi, Zhao Hang, Remy Lequesne, Caroline Bennett, Jian LiSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver