Journal of Computing in Civil Engineering - v. 36, n. 5 (septembre 2022)

Publié:	septembre 2022

Auteur(s)	Titre	Page(s)
Guo, Yunhui / Wang, Chaofeng / Yu, Stella X. / McKenna, Frank / Law, Kincho H.	AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images
Areti, Madhu / Hasnain, Zohaib	Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment
Liu, Kaijian / El-Gohary, Nora	Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction
Zhang, Ruichuan / El-Gohary, Nora	Hierarchical Representation and Deep Learning–Based Method for Automatically Transforming Textual Building Codes into Semantic Computable Requirements
Chen, Junjie / Lu, Weisheng / Dong, Zhiming	Monocular Vision–Enabled 3D Truck Reconstruction: A Novel Optimization Approach Based on Parametric Modeling and Graphics Rendering
Ibrahim, Amir / Golparvar-Fard, Mani / El-Rayes, Khaled	Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs
Hu, Da / Chen, Long / Du, Jing / Cai, Jiannan / Li, Shuai	Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue
Zhou, Peng / El-Gohary, Nora	Semantic Information Extraction of Energy Requirements from Contract Specifications: Dealing with Complex Extraction Tasks
Lee, Jin Gang / Hwang, Jeongbin / Chi, Seokho / Seo, JoonOh	Synthetic Image Dataset Development for Vision-Based Construction Equipment Detection
Hasan, Monjurul / Lu, Ming	Variance Analysis on Regression Models for Estimating Labor Costs of Prefabricated Components

Auteur(s)

Titre

Page(s)

Guo, Yunhui / Wang, Chaofeng / Yu, Stella X. / McKenna, Frank / Law, Kincho H.

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images

Areti, Madhu / Hasnain, Zohaib

Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment

Liu, Kaijian / El-Gohary, Nora

Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction

Zhang, Ruichuan / El-Gohary, Nora

Hierarchical Representation and Deep Learning–Based Method for Automatically Transforming Textual Building Codes into Semantic Computable Requirements

Chen, Junjie / Lu, Weisheng / Dong, Zhiming

Monocular Vision–Enabled 3D Truck Reconstruction: A Novel Optimization Approach Based on Parametric Modeling and Graphics Rendering

Ibrahim, Amir / Golparvar-Fard, Mani / El-Rayes, Khaled

Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs

Hu, Da / Chen, Long / Du, Jing / Cai, Jiannan / Li, Shuai

Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue

Zhou, Peng / El-Gohary, Nora

Semantic Information Extraction of Energy Requirements from Contract Specifications: Dealing with Complex Extraction Tasks

Lee, Jin Gang / Hwang, Jeongbin / Chi, Seokho / Seo, JoonOh

Synthetic Image Dataset Development for Vision-Based Construction Equipment Detection

Hasan, Monjurul / Lu, Ming

Variance Analysis on Regression Models for Estimating Labor Costs of Prefabricated Components

Publicité

Journal of Computing in Civil Engineering - v. 36, n. 5 (septembre 2022)

Articles dans ce numéro

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Journal of Computing in Civil Engineering - v. 36, n. 5 (septembre 2022)

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

Données obligatoires

Vous avez dépassé votre limite de téléchargement mensuelle !

Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois.
Les utilisateurs·rices de Structurae Pro sont limités à 50.