Journal of Computing in Civil Engineering (Vol.39, Issue 4 July 2025)

Journal of Computing in Civil Engineering (Vol.39, Issue 4 July 2025)

Kategori: Jembatan

Kontributor: administrator

Publish Date: 03 Tue 2026

Daftar Isi "Journal of Computing in Civil Engineering" (Vol.39, Issue 4 July 2025)

 

Bagi sahabat yang membutuhkan jurnal ini, silakan mengisi lembar pemesanan, dibawah ini :

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ARTICLES

PAGE

  1.  

Real-Time Damage Detection in Building Structures Using Model-Based Adaptive Control Approach      

Kaveh Karami, Samira Naderi and Yazdan Batmani

1-19

  1.  

UWB and IMU Fusion Construction Worker Localization Method Based on Transformer Correction            

Ziqi Li and Dongsheng Li

1-10

  1.  

Training Deep Learning Segmentation Models Using Super-Resolution Crack Images for Detection of Thin Concrete Cracks              

Dokyoon Oh, Seran Jeong, Suk-Kyoung Bae, Byunghyun Kim and Soojin Cho

1-14

  1.  

Study of Cross-Project Prediction of Rock Mass Classification Based on Feature Fusion             

Zikai Dong, Xu Li, Hongwei Yu, Guoshuai Tian and Hai Xing

1-15

  1.  

Classification of Rock Hardness at Tunnel Faces Based on a Drilling Parameter Cloud Map and Convolutional Neural Network                    

Mingnian Wang, Wenhao Yi, Qinyong Xia, Peng Lin and Jianjun Tong

1-17

  1.  

Hierarchical Intersection over Union Method: A Comprehensive Evaluation for Floor Plan Vectorization                   

Jici Xing, Guowei Gao, Yu Han and Guoying Liu

1-12

  1.  

A Novel Approach for Identifying Rotational Stiffness of Semirigid Joints by Physics-Informed Neural Networks           

Weijia Zhang, Yi-Qing Ni, Su-Mei Wang, Lei Yuan and Shuo Hao

1-17

  1.  

Evaluation of the Temperature Segregation of the Asphalt Mixture Transportation Process by Intelligent Control Technology for Energy Efficient Utilization           

Bei Chen, Xin Yu, Fuqiang Dong and Jiandong Huang

1-14

  1.  

Sequential Filling Method for Internal Holes in Road Elevation Map Based on Bilateral Filtering              

Yihe Liu, Yonghui Feng and Xiangjun Mo

1-12

  1.  

Methods for Visualizing Deep Learning to Elucidate Contributions of Various Signal Features in Structural Health Monitoring                  

Ziqi Li, Dongsheng Li and Wei Shen

1-8

  1.  

Superpoint Transformer–Based Bridge Component Recognition Using UAV-Mounted LiDAR and Synthetic Point Cloud Generation                   

Yohan Kim, Jeehoon Kim, Juhyeon Kim and Hyoungkwan Kim

1-15

  1.  

A Deep Learning Autoregressive Forecasting Model for Probabilistic Water Pipe Break Prediction                   

Hojat Behrooz and Mohammad Ilbeigi

1-12

  1.  

Three-Dimensional Crack Quantification Using Fused LiDAR Data and Optical Images            

Hui Qin, Chunxiao Li, Shengshan Pan, Qian Wang and Yu Liu

1-12

  1.  

Multiple Camera-Based Digital Twin Creation and Dynamic Earthquake Simulation of Historical Masonry Minarets                

Tunahan Aslan, Kemal Hac?efendio?lu and Cemile Duman

1-14

  1.  

Deep Learning–Based Prediction of Human–Robot Trust Dynamics in Future Construction Using Worker Neuropsychophysiological Responses                  

Woei-Chyi Chang, Nestor F. Gonzalez Garcia and Sogand Hasanzadeh

1-16

  1.  

Relative Flatness Analysis in Mobile Pavement Condition Monitoring Using Hybrid Solid-State LiDAR                 

Tzu-Yi Chuang and Yu-Qi Chang

1-17

  1.  

Pixel-Level Detection of Cracks Based on Loop Semantic Diffusion Integration            

Guoan Gan, Xinyi Xu, Yue Ding, Allen A. Zhang, Zishuo Dong, Hang Zhang, Anzheng He, Yafei Wang and Heming Sun

1-16

  1.  

Cost-Effective Pavement Friction Management Using Machine Learning                  

Hongbin Xu, Jorge A. Prozzi and Feng Hong

1-11

  1.  

Systematic Analysis of the Impact of Data Preprocessing Techniques on Machine-Learning Model Performance: A Case Study of a Compressive Strength Prediction Model for Geopolymer Concrete                    

Madushan Rathnayaka,  Dulakshi Karunasingha, Chamila Gunasekara, Kushan Wijesundara, David W. Law and Weena Lokuge

1-13

  1.  

Case Studies                    

Scenario Generation for Built Environment Decision Support under Uncertainty: Case Studies of Airflow Modeling and Climate-Resilient Infrastructure System Design                

Linchao Luo, Chih-Shen Cheng, William Mobley, Atila Novoselac, Katherine Lieberknecht and Fernanda Leite

1-18

  1.  

Causality-Guided Explainable Deep-Learning Model for Managing Tunnel-Induced Ground Settlement Risks                               

Wenli Liu, Fenghua Liu, Peter E. D. Love and Weili Fang

1-17

  1.  

The Framework and Implementation of Using Large Language Models to Answer Questions about Building Codes and Standards                 

Isaac Joffe, George Felobes, Youssef Elgouhari, Mohammad Talebi Kalaleh, Qipei Mei and Ying Hei Chui

1-17

 

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