Journal of Computing in Civil Engineering: Recent submissions
Now showing items 101-120 of 2320
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Enhanced Structural Damage Detection, Segmentation, and Quantification Using Computer Vision and Deep Learning
(American Society of Civil Engineers, 2025)AbstractIn infrastructure monitoring, manual inspections and conventional computer vision techniques have long been the standard for detecting structural damage. Nevertheless, these approaches are frequently constrained ... -
Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes
(American Society of Civil Engineers, 2025)AbstractFault detection and diagnosis (FDD) in air handling units (AHUs) is essential for ensuring indoor air quality and prolonging system life span. However, the use of real operational data for FDD has been limited in ... -
Pavement Crack Segmentation Based on Synthetic Data Sets and Unsupervised Domain Adaptation
(American Society of Civil Engineers, 2025)AbstractThis study proposes a novel pavement crack segmentation methodology that integrates synthetic data sets with unsupervised domain adaptation to address annotation challenges in pavement crack data sets and enhance ... -
Automated Identification and Numbering of Brick in Orthoimages of Ancient City Walls with Settlement
(American Society of Civil Engineers, 2025)AbstractIn the maintenance of ancient city walls, segmenting bricks and identifying their row and column positions can help record and track the development trends of defects, while also providing significant potential ... -
DIGERv2: Anchor-Free Multiscale Construction Activity Recognition and Localization Using Cross-Backbone Attention and Adaptive Sample Selection
(American Society of Civil Engineers, 2026)AbstractAutomated monitoring of construction activities, such as those performed by workers and equipment, is vital for enhancing safety and productivity on construction sites. Our recently developed DIGER method, which ... -
An Intelligent Method for Identifying and Analyzing PCCP Wire-Break Signals Based on Prototype Testing and an Ensemble Deep Learning Model
(American Society of Civil Engineers, 2026)AbstractWire breakage is the predominant cause of failure in prestressed concrete cylinder pipe (PCCP) within water diversion and transfer projects. This paper employs deep learning models to extract signal features and ... -
Advancing Traffic Safety Analysis: A Novel Lightweight Rule-Based and Part-of-Speech Tagging-Based Approach for Information Extraction from Crash Reports
(American Society of Civil Engineers, 2026)AbstractRoad safety remains a critical issue as traffic accidents continue to rise. Analyzing crash reports is vital for understanding accident causation and implementing preventative measures. In this research, we focused ... -
Automated and Semantic-Rich BIM Modeling of MEP Systems Using Monocular Cameras
(American Society of Civil Engineers, 2025)AbstractAccurate and updated as-built building information modeling (BIM) has become an effective tool for managing mechanical, electrical, and plumbing (MEP) systems due to its capabilities in enhancing visualization and ... -
Detecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders
(American Society of Civil Engineers, 2026)AbstractInternal erosion poses a significant threat to the structural integrity of earth dams, often leading to catastrophic failures. The critical nature of such events emphasizes the need for reliable predictive methods ... -
Res-FPN–SqueezeNet Segmentation Architecture for Enhanced Identification of Concrete Cracks within a Deep-Learning Framework
(American Society of Civil Engineers, 2025)AbstractTo enhance the precision and efficiency of concrete crack detection and segmentation in concrete structures, this paper proposes a novel Res-FPN–SqueezeNet segmentation model improved by the SqueezeNet convolutional ... -
BIM-Driven Unmanned Ground Vehicle Swarm System for Geometric and Visual Data Collection
(American Society of Civil Engineers, 2025)AbstractUnmanned ground vehicles (UGVs) have emerged for construction site geometric and visual data collection, which has traditionally been resource-intensive and hazardous. The use of multiple small UGVs can overcome ... -
A Lightweight Image-Based Indoor Localization System with BIM
(American Society of Civil Engineers, 2026)AbstractIndoor localization based on images is a crucial technology for realizing intelligent building services. However, existing methods face significant challenges. The traditional process of acquiring indoor image data ... -
On-Site Comprehensive Surface Quality Assessment of Prefabricated Composite Slabs Based on Colored Point Clouds
(American Society of Civil Engineers, 2025)AbstractThe increasing prevalence of prefabricated buildings in the modern construction industry has accentuated the necessity for rigorous and precise geometric inspections of factory-produced components. Traditional ... -
Real-Time Monitoring of Mobile Construction Resources Based on Multiple Object Tracking
(American Society of Civil Engineers, 2025)AbstractVision-based detection and tracking are crucial techniques for effective management of construction resources. However, existing methods face challenges in achieving the necessary requirements of high accuracy and ... -
Optimizing Task Allocation in Human-in-the-Lead Construction Robotics: A Framework for Wood Assembly–Based Robotics in Panelized Construction
(American Society of Civil Engineers, 2025)AbstractExisting human–robot collaboration (HRC) research often overemphasizes an equal partnership, which can hinder the effective integration of robots in the dynamic environment of industrialized construction (IC). This ... -
Development of Multilabel Text Classification with Contrastive Learning for Safety Hazard Analysis in Large-Scale Construction Projects
(American Society of Civil Engineers, 2025)AbstractText analysis of safety hazards is particularly important to grasp construction safety risks. However, hazard descriptions and locations are usually weakly directional and ambiguous, leading to a significant ... -
DfMA-Oriented Optimal Design for Curved Wooden Keels Based on Multiobjective Optimization and BIM
(American Society of Civil Engineers, 2025)AbstractCurved buildings, often local landmarks, seamlessly blend into their surroundings. The construction of such structures frequently involves the use of curved wooden keels (CWKs) due to their ease of shaping and ... -
Integrating Hydrodynamic Mechanisms and Deep Learning for Real-Time Flood Inundation Forecasting
(American Society of Civil Engineers, 2026)AbstractExtreme climate events are becoming increasingly frequent, and flood disasters have been one of the most frequent and devastating forms of such events, threatening the lives and property of coastal residents. To ... -
Smart Video Analytics Solution to Identify Urban Floodborne Objects
(American Society of Civil Engineers, 2025)AbstractFloating urban objects (e.g., drums, tyres, and gas cylinders) during floods is a common phenomenon that exacerbates flooding outcomes in many ways such as causing injuries, blocking infrastructure, and diverting ... -
Optimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net
(American Society of Civil Engineers, 2026)AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and the longevity of road infrastructures. Existing convolutional neural network (CNN) models often struggle with the noise and irregular ...