YaBeSH Digital Library: Recent submissions
Now showing items 2501-2520 of 316660
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Automated and Scalable Footstep Vibration-Based Pedestrian Localization in Built Environments Using Deep Learning
(American Society of Civil Engineers, 2026)AbstractWorks of social infrastructure, such as public parks and markets, play a crucial role in fostering well-being in urban communities. To evaluate their effectiveness, there is a need for nonintrusive, continuous ... -
Attention-Based Encoder for Online Data Anomaly Classification in Multivariate Time Series
(American Society of Civil Engineers, 2025)AbstractData collected from low-cost sensors in structural health monitoring (SHM) often contain anomalies, leading to misinterpretations of subsequent structural condition assessment. Therefore, the classification model ... -
Optimization of Building Heat Load Prediction Based on Rolling Period Average Outdoor Temperature and Interpretable Models
(American Society of Civil Engineers, 2026)AbstractIn the context of pressing challenges related to energy and the environment, enhancing building energy efficiency assumes paramount importance. Accurate prediction of heat loads emerges as a pivotal aspect for ... -
Belief Update Modeling for AI Agents by Human-Derived Dual-Thresholds Evidence Accumulation Process
(American Society of Civil Engineers, 2026)AbstractAutonomous drones play an increasingly critical role in dynamic environments, where effective decision-making depends on accurate and timely belief updates. However, the processes by which artificial intelligence ... -
Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network
(American Society of Civil Engineers, 2026)AbstractCrack detection is essential for the routine inspection of subway tunnels. This study addresses key challenges, such as low image acquisition efficiency, poor recognition performance, and the inability to quantify ... -
Autonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D
(American Society of Civil Engineers, 2025)AbstractThe integrity of autonomous rail rapid transit (ART) is crucial for efficient transportation system operation. However, accurately identifying damage to ART pavements in complex backgrounds poses a challenge for ... -
Identification of Accident Risks and Configuration Safety in Coal Mines Based on Complex Networks and QCA
(American Society of Civil Engineers, 2026)AbstractCoal mine accidents frequently arise from the complex interplay of multiple risk factors. This study aims to identify key causal factors and typical configurations underlying these accidents to provide targeted ... -
Synthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds
(American Society of Civil Engineers, 2026)AbstractA scarcity of real-world point clouds poses a considerable challenge in training a bridge semantic segmentation model. Although virtual point cloud synthetization offers a promising alternative, the persistent ... -
Multitask Sparse Bayesian Machine Learning with Applications in Modeling of Seismic Attenuation and Clay Parameters with Small Data Sets
(American Society of Civil Engineers, 2026)AbstractMultitask sparse Bayesian learning (SBL) has received extensive attention because it makes full use of multiple groups of data by joint learning of sparse representations for multiple models. It is capable of ... -
Efficient Track Irregularity Prediction Using TimeGAN and BLS-SVR
(American Society of Civil Engineers, 2026)AbstractMonitoring track irregularity is vital for ensuring the safety and comfort of railway transportation. Accurate predictions of track irregularities allow infrastructure managers (IMs) to develop cost-effective ... -
Evaluation of Parameters that Impact Data Collection for Robot Progress Detection of a Masonry Wall
(American Society of Civil Engineers, 2026)AbstractThe construction industry is going through a technological revolution where aspects of digitalization are combined with automation. A prime example is using data from a building information model (BIM) to promote ... -
Data-Driven Adaptive Nearest-Neighbor Reconstruction for Early-Stage Damage Detection in Structures Subjected to Changing Environments
(American Society of Civil Engineers, 2026)AbstractThe utilization of intelligent damage detection techniques that rely on modal frequencies has resulted in remarkable progress in civil structural health monitoring (SHM). However, changing environments often induce ... -
Automated Aging Building Defect Recognition and Analysis Using Transformers
(American Society of Civil Engineers, 2026)AbstractAging infrastructure poses significant safety risks due to the potential for undetected structural defects leading to catastrophic failures. Traditional manual inspection approaches are considered labor-intensive, ... -
ANN-Based Machine Learning Approach for Predicting the Environmental Impacts of Emerging Nano Impregnated High-Performance Concrete
(American Society of Civil Engineers, 2026)AbstractEmerging infrastructure development demands the use of advanced construction materials such as nanomaterials and high-performance concrete (HPC). Simultaneously, assessing the environmental impact (EI) of these ... -
Building Fire Evacuation Risk Assessment and Mapping Considering Safety and Travel Delays
(American Society of Civil Engineers, 2026)AbstractPrevious studies on building fire evacuation risk often overlook time delays caused by congestion and fire hazards. This gap is addressed by defining travel delays during fire evacuations and introducing two key ... -
Connected Car-Based Pavement Roughness Prediction Using CNN Model and Signal Decomposition Technique
(American Society of Civil Engineers, 2025)AbstractAccurate pavement roughness assessment is critical for effective pavement management. Connected car data provides a cost-effective way to predict the pavement roughness based on the acceleration data. This paper ... -
Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis
(American Society of Civil Engineers, 2026)AbstractAccounting for occupancy information in building operations holds significant promise in enabling occupancy-responsive and energy-efficient operations of buildings to better harness their untapped energy efficiency ... -
Active Learning–Based Estimation of Extreme Roll Motion in Beam Seas with Supervised Dimensionality Reduction and Gradient Approximation
(American Society of Civil Engineers, 2026)AbstractAn efficient method is presented for estimating extreme nonlinear roll motion of a ship in beam seas in a given short-term sea state. With the aim of reducing the number of numerical simulations for roll motion ... -
A Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized Intersection
(American Society of Civil Engineers, 2026)AbstractThis study presents a deep Q-learning optimization framework to improve the effects of novice drivers’ behavior on signalized intersection performance. The driving behavior of 70 novice drivers was collected at a ... -
A Novel Noise-Robust and Occlusion-Aware Online Identification Method for Concrete Aggregate Gradation Based on IYOLOv8-seg
(American Society of Civil Engineers, 2025)AbstractImage-based online aggregate gradation detection provides an essential method for analyzing the mechanical properties of concrete and ensuring quality control. Existing methods based on digital image methods for ...