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ORCIDJournal of Computing in Civil Engineering, Volume 38
Volume 38, Number 1, January 2024
- Eyob T. Mengiste
, Karunakar Reddy Mannem, Samuel A. Prieto, Borja Garcia de Soto:
Transfer-Learning and Texture Features for Recognition of the Conditions of Construction Materials with Small Data Sets. - Huanyu Wu, Yongqi Liu, Ruidong Chang, Lingyi Wu:
Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis. - Jyrki Oraskari, Seppo Törmä, Mehmet Yalcinkaya, Vishal Singh, Jakob Beetz:
Sharing Linked Building Data in a Peer-to-Peer Network: ifcOWL Meets InterPlanetary File System. - Reviewers.
- Zijian Wang, Rafael Sacks, Boyuan Ouyang, Huaquan Ying, André Borrmann:
A Framework for Generic Semantic Enrichment of BIM Models.
Volume 38, Number 2, March 2024
- Retraction: "Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection".
Volume 38, Number 3, May 2024
- Yong Kwon Cho, Nora M. El-Gohary:
Editor's Note. - Yu-Hsuan Fei, Ta-Chih Hsiao, Albert Y. Chen:
Adapting Public Annotated Data Sets and Low-Quality Dash Cameras for Spatiotemporal Estimation of Traffic-Related Air Pollution: A Transfer-Learning Approach.
Volume 38, Number 4, 2024
- Junjie Chen, Weisheng Lu, Yipeng Pan, Yonglin Fu:
Building "RoboAvatar": Industry Foundation Classes-Based Digital Representation of Robots in the Built Environment. - Pengxiang Xia, Tianyu Zhou, Yang Ye, Jing Du:
Human Autonomy Teaming for ROV Shared Control. - Houhao Liang, Justin K. W. Yeoh, David K. H. Chua:
Robust Alignment of UGV Perspectives with BIM for Inspection in Indoor Environments. - Hongrui Yu, Vineet R. Kamat, Carol C. Menassa:
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots. - Xiaogang Guo, Ning Wang:
Automated Identification of Pavement Structural Distress Using State-of-the-Art Object Detection Models and Nondestructive Testing. - Hardik Chauhan, Ali Pakbaz, Youjin Jang, In-Bae Jeong:
Analyzing Trust Dynamics in Human-Robot Collaboration through Psychophysiological Responses in an Immersive Virtual Construction Environment. - Chan Heo, Moonseo Park, Changbum R. Ahn:
Potential AI-Driven Algorithmic Collusion and Influential Factors in Construction Bidding.
Volume 38, Number 5, 2024
- Yuanji Yang, Hui Wang, Junyang Kang, Zhoucong Xu:
A Method for Surveying Road Pavement Distress Based on Front-View Image Data Using a Lightweight Segmentation Approach. - Hyunkyu Shin, Sanghyo Lee:
An Efficient Explainable Convolutional Network with Visualization of Feature Maps for Enhanced Understanding of Building Facade Defects. - Viktor Drobnyi, Shuyan Li, Ioannis K. Brilakis:
Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds. - Houhao Liang, Justin K. W. Yeoh, David K. H. Chua:
Premapping of Dynamic Indoor Construction Sites Using Prior Construction Progress Video to Enhance UGV Path Planning.
Volume 38, Number 6, 2024
- Xuling Ye, Ningshuang Zeng, Xingyu Tao, Daguang Han, Markus König:
Smart Contract Generation and Visualization for Construction Business Process Collaboration and Automation: Upgraded Workflow Engine. - Mohsen Mohammadi, Ghiwa Assaf, Rayan H. Assaad, Ai-Chih Jasmine Chang:
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. - Hong Lang, Jinsong Qian, Ye Yuan, Jiang Chen, Yingying Xing, Aidi Wang:
Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II.
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