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Journal of Computing in Civil Engineering - v. 38, n. 6 (November 2024)

Erschienen:	November 2024

Artikel in dieser Ausgabe

Autor(en)	Titel	Seite(n)
Gedam, Banti A.	ANN-Powered Models for Predicting Shrinkage and Creep Properties of High-Performance Concrete Using Supplementary Cementitious Materials
Lang, Hong / Qian, Jinsong / Yuan, Ye / Chen, Jiang / Xing, Yingying / Wang, Aidi	Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II
Meng, Chuncheng / Qu, Daoyuan / Duan, Xiaochen	Cost Estimation of Metro Construction Projects Using Interpretable Machine Learning
Ma, Jong Won / Jung, Jaehoon / Leite, Fernanda	Deep Learning–Based Scan-to-BIM Automation and Object Scope Expansion Using a Low-Cost 3D Scan Data
Mohammadi, Mohsen / Assaf, Ghiwa / Assaad, Rayan H. / Chang, Aichih “Jasmine”	An Intelligent Cloud-Based IoT-Enabled Multimodal Edge Sensing Device for Automated, Real-Time, Comprehensive, and Standardized Water Quality Monitoring and Assessment Process Using Multisensor Data Fusion Technologies
Vosoughkhosravi, Sorena / Jafari, Amirhosein	Mapping Residential Occupancy: Understanding Sociodemographic Influences on Occupancy Patterns Using the American Time Use Survey
Yang, Bin / Zhang, Haoran / Shen, Zhirong	Minimum Distance Calculation Method for Collision Issues in Lifting Construction Scenarios
Cheng, Min-Yuan / Khasani, Riqi Radian	A Novel Approach for Advancing Asphalt Pavement Temperature and Flow Number Predictions Using Optical Microscope Algorithm–Least Square Moment Balanced Machine
Cheng, Min-Yuan / Khitam, Akhmad F. K.	Novel Optical-Inspired Rain Forest for the Explainable Prediction of Geopolymer Concrete Compressive Strength
Li, Yue / Shi, Junjie / Shen, Jiale / Jin, Kaikai / Fan, Mengtian / Liu, Xiaolong	Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms
Ye, Xuling / Zeng, Ningshuang / Tao, Xingyu / Han, Daguang / König, Markus	Smart Contract Generation and Visualization for Construction Business Process Collaboration and Automation: Upgraded Workflow Engine
Chen, ZhiQiang / Tang, Shimin	Structural Material Condition Assessment through Human-in-the-Loop Incremental Semisupervised Learning from Hyperspectral Images
Li, Shengyuan / Le, Yushan / Zhao, Xuefeng	Style-Controlled Image Synthesis of Concrete Damages Based on Fusion of Convolutional Encoder and Attention-Enhanced Conditional Generative Adversarial Network
Li, Yan / Liu, Songyang / Wang, Mengjun / Li, Shuai / Tan, Jindong	Teleoperation-Driven and Keyframe-Based Generalizable Imitation Learning for Construction Robots
Chuang, Tzu-Yi / Ng, Hui-Yin / Hsieh, Yo-Ming	Three-Dimensional Wireframe Reconstruction for Non-Manhattan-Shaped Point Clouds
Lee, Kyeongsuk / Pooladvand, Shiva / Esmaeili, Behzad / Hasanzadeh, Sogand	Understanding Construction Workers’ Risk Perception Using Neurophysiological Responses

Über diese
Datenseite
IssueID
74364
Veröffentlicht am:
01.09.2024
Geändert am:
01.09.2024

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