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RISEvaluating the Resilience of Graph Neural Network Architectures to Adversarial and Noisy Data in High-Stakes Construction Project Management
Publisher: American Society of Civil Engineers
Abstract: AbstractHigh-stakes mega-construction projects present a challenging environment for decision-support
models, as they are exposed to risks from both deliberate attacks and unintentional
errors. These vulnerabilities can ...
Project Scheduling to Minimize the Time and Cost in Large-Scale Construction Projects with Repulsion-Based Improved Arithmetic Optimization
Publisher: American Society of Civil Engineers
Abstract: AbstractOptimally balancing project duration and cost significantly enhances overall project
value. Nevertheless, managing this dual-objective optimization becomes increasingly
challenging as the number of activities and ...
A Dual-Domain Deep Convolutional Variational Autoencoder Framework for Unsupervised Structural Health Monitoring Using Vision-Based Vibration Analysis
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study introduces a novel unsupervised machine learning approach for structural
health monitoring (SHM), employing a dual-domain deep convolutional variational autoencoder
(DD-CVAE). Conventional SHM techniques ...