Computer-Aided Civil and Infrastructure Engineering - v. 39, n. 4 (November 2023)

Erschienen:	November 2023

Autor(en)	Titel	Seite(n)
Chu, Honghu / Chun, Pang‐jo	Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network	575-594
Bazrafshan, Pedram / On, Thinh / Basereh, Sina / Okumus, Pinar / Ebrahimkhanlou, Arvin	A graph‐based method for quantifying crack patterns on reinforced concrete shear walls
Li, Kai / Pan, Lei / Guo, Xiaohui / Wang, Yuan Feng	Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength	559-574
Bodnar, Bastien / Larbi, Walid / Titirla, Magdalini / Deü, Jean‐François / Gatuingt, Fabrice / Ragueneau, Frédéric	Hyper‐reduced order models for accelerating parametric analyses on reinforced concrete structures subjected to earthquakes	476-497
Chu, Honghu / Long, Lizhi / Guo, Jingjing / Yuan, Huaqing / Deng, Lu	Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images
Sun, Lixiang / Yang, Yixin / Zhou, Guoxiong / Chen, Aibin / Zhang, Yukai / Cai, Weiwei / Li, Liujun	An integration–competition network for bridge crack segmentation under complex scenes	617-634
Fei, Yifan / Liao, Wenjie / Lu, Xinzheng / Guan, Hong	Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings	518-538
Lee, Chang Seok / Mangalathu, Sujith / Jeon, Jong‐Su	Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars	595-616

Autor(en)

Titel

Seite(n)

Chu, Honghu / Chun, Pang‐jo

Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network

575-594

Bazrafshan, Pedram / On, Thinh / Basereh, Sina / Okumus, Pinar / Ebrahimkhanlou, Arvin

A graph‐based method for quantifying crack patterns on reinforced concrete shear walls

Li, Kai / Pan, Lei / Guo, Xiaohui / Wang, Yuan Feng

Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength

559-574

Bodnar, Bastien / Larbi, Walid / Titirla, Magdalini / Deü, Jean‐François / Gatuingt, Fabrice / Ragueneau, Frédéric

Hyper‐reduced order models for accelerating parametric analyses on reinforced concrete structures subjected to earthquakes

476-497

Chu, Honghu / Long, Lizhi / Guo, Jingjing / Yuan, Huaqing / Deng, Lu

Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images

Sun, Lixiang / Yang, Yixin / Zhou, Guoxiong / Chen, Aibin / Zhang, Yukai / Cai, Weiwei / Li, Liujun

An integration–competition network for bridge crack segmentation under complex scenes

617-634

Fei, Yifan / Liao, Wenjie / Lu, Xinzheng / Guan, Hong

Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings

518-538

Lee, Chang Seok / Mangalathu, Sujith / Jeon, Jong‐Su

Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars

595-616

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Computer-Aided Civil and Infrastructure Engineering - v. 39, n. 4 (November 2023)

Artikel in dieser Ausgabe

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Computer-Aided Civil and Infrastructure Engineering - v. 39, n. 4 (November 2023)

Artikel in dieser Ausgabe

Sie haben Ihr monatliches Download-Limit überschritten! Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen. Structurae Pro-Nutzer·innen sind auf 50 beschränkt.

Pflichtangaben

Sie haben Ihr monatliches Download-Limit überschritten!

Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen.
Structurae Pro-Nutzer·innen sind auf 50 beschränkt.