Journal & Article

Interdisciplinary Applications

I/F
# Journal I/F

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

POD-HDWNO: A hierarchical decoupled wavelet neural operator framework with POD reconstruction for efficient full-field response prediction of high-speed railway bridges Revisiting urban pipeline renewal: transparent machine-learning for failure identification and elucidation A framework integrating physically constrained virtual sensing and Kolmogorov–Arnold network surrogate for response reconstruction and optimal sensor placement A dual-view 3D point cloud learning framework for automated coarse aggregate particle size inspection in continuous production 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 SpecU-Former: A degradation-aware method for underwater concrete crack segmentation and mask-based width quantification KGDRL-HAO: A knowledge reasoning-guided deep reinforcement learning framework for highway alignment optimization An explicit physical-state neural network method for constitutive modeling with consistent integration into nonlinear finite element frameworks A computer-aided probabilistic framework for full-field seismic response assessment of concrete dams Joint optimization of roadside monitoring sensor placement and environmental editing for cost-effective cooperative perception Automated drone-based scan-to-BIM for railway infrastructure: an interactive immersive framework for macro-geometric change visualisation Quantum deep convolutional neural networks for damage classification Learning-based video motion magnification for cable force estimation under micro-amplitude vibration Unified segmentation of surface and subsurface façade defects via infrared–visible fusion and temperature perturbation cloning Wet and reflective pavement crack segmentation based on a pseudo-multimodal collaborative network A deep learning-based framework for automated section line generation in BIM models Component-aware 3D damage localization on Gaussian splatting for bridge inspection Complex 3D structure and crack reconstruction by an online hybrid stereo photogrammetry approach A real-time vision-based framework for non-contact full-field monitoring of traffic-induced bridge responses A CNN-enhanced probability density evolution framework for reliability analysis of offshore wind turbines Strategic charging infrastructure planning for vehicle-to-grid services considering decentralized transportation and power systems Bidirectional Monte Carlo tree search for coordinated railway alignment and dominant-structure location optimization in fragmented design spaces Construction-state-driven virtual trial assembly of large steel structures with temperature-window identification 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