Journal & Article

Interdisciplinary Applications

I/F
# Journal I/F

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Computer-aided pitting corrosion segmentation of steel surfaces using a geometry-guided hybrid two-stage w-net-transformer High-fidelity guided-wave full waveform inversion regularized by physics-informed deep generative model Damage-directed grid refinement of layered Voronoi-cell lattice models for limit analysis of concrete structures Isolation distributional kernels for indirect bridge health monitoring: A full-scale investigation of anomaly detection Real-time multi-step prediction of tunnel boring machine parameters using a decomposition-enhanced dual-stream deep learning model Generative diffusion–aided probabilistic spatiotemporal response reconstruction for structural dynamic system under sparse noisy measurements Digital twinning of a steel composite bridge using semantic data structures High-precision non-contact cable force identification using mode shapes measured by an array of laser Doppler vibrometers TopoCLR: Topology-guided contrastive learning of representations for unsupervised crack analysis Two-stage generative AI modeling of pulse-like near-fault ground-motion time histories in the wavelet-packet domain Adaptive multi-task mixture-of-adapters for GPR-based infrastructure inspection under diverse electromagnetic interference conditions Diffraction-centric GPR inversion for small-scale rock hazards imaging ahead of TBM Surrogate-assisted multi-objective seismic design optimisation of diagrid tall buildings Polynomial-to-linear reduction of computational complexity via tensor-train dynamic mode decomposition for predicting chloride diffusion in concrete Estimation of 3D global shape parameters of calcareous sand from 2D projections: insights from noise-generated synthetic particles Learning to design: A collaborative multi-agent reinforcement learning framework for arch dam shape design UAV-based pavement distress segmentation via controllable synthetic data augmentation and a lightweight selective fusion network under limited annotations Probabilistic Gaussian Grouping: Uncertainty-Aware 3D Scene Understanding for Robotics in Construction A motion-region-based center frequency optimization method for Gabor wavelets in phase-based displacement measurement AdvSerial: Physical adversarial attacks on infrastructure-mounted pedestrian detectors via semantic feature suppression Physically consistent and domain-adaptive vehicle state prediction via Kolmogorov–Arnold networks with a differentiable dynamics prior Pavement performance prediction via a tabular foundation model Parameterized quantum circuit-enhanced graph neural networks for seismic damage prediction: Advantages under data-scarce and noisy conditions A framework for multi-class surface damage segmentation, quantification, and severity assessment of reinforced concrete structures with GAN data augmentation Physics-parameterized neural networks for non-destructive concrete strength prediction: A comparative study A multi-level approach for predicting seismic damage of building portfolios subjected to ground motion fields Vehicle–Infrastructure Cooperative Multi-Lane Lane Changing of Connected and Automated Vehicle Platoons in Mixed Traffic via Monte Carlo Tree Search LSTM-based constitutive model of recycled aggregate concrete under confining pressure Transformer-based contrastive denoising autoencoder for unsupervised detection of wind-induced vibration changes in cable-supported bridges TCN-AOL: An online incremental learning method for real-time multi-step prediction of shield tunnel excavation performance Real-time estimation of seismic rupture feature parameters considering active fault constraints Iterative image annotation for deep learning-based concrete damage segmentation through Human-AI collaboration CFDSLite-UNet: A lightweight algorithm for pavement raveling distress detection with efficiency and accuracy synergistic improvement Physics-informed dual-network framework for wire-break anomaly imaging in prestressed concrete cylinder pipes Bayesian meta-learned priors for few-shot structural identification under data heterogeneity A two-stage optimized temperature component-driven deep learning model for arch dam deformation prediction A large language model-aided vision-based framework for automated structural displacement measurement Assessing the reliability of surrogate-based inverse identification beyond forward accuracy: A diagnostic framework for pavement systems Corrigendum to “Parameterized quantum circuit-enhanced graph neural networks for seismic damage prediction: Advantages under data-scarce and noisy conditions” [Computer-Aided Civil and Infrastructure Engineering 49 (2026) 100101] Surrogate coupling model for nonlinear dynamic lateral instability of high-speed trains interacting over turnouts Explainable trajectory planning for autonomous driving via dynamic topology-reasoned diffusion model An adaptive UAV-based daily highway inspection method based on vision foundation models and image matching technique Shape control optimization of complex inflatable membrane structures based on position-based dynamics with application to ice shells Visible-infrared imagery and deep learning for UAV-based automated levee hazard detection Model-free geometric perception framework for automated deformation monitoring of space grid structures Railway track geometry irregularity exceedance prediction based on CNN-BiLSTM-Attention and neural-wiener process fusion with degradation feature diversity 3D modeling and automated measurement of concrete cracks via segment anything refinement and visual inertial LiDAR fusion Anticipatory Monte Carlo tree search–based optimization for stochastic dynamic routing with time windows A point cloud dataset and deep learning framework for semantic segmentation of construction site point clouds Tracking of real aggregates in asphalt mixture using a modified convolutional neural network and multi-feature similarity weighted matching