Journal & Article

Interdisciplinary Applications

I/F
# Journal I/F

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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 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 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 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 Automated design optimization framework for geometrically nonlinear and dynamic structures based on a differentiable finite particle method Imaging the internal structure of the existing bridge pile foundation using reverse time migration Adaptive non-intrusive substructure modeling framework for multiscale nonlinear damage analysis of large-scale RC structures Large language models enable intelligent decision-making for pavement maintenance Stage-based fitting of viscoelastic parameters for steel bridge deck pavement materials using an improved PELT algorithm and finite element validation An adaptive algorithm for identifying and characterizing multi-pulse ground motions Vision-based modal identification and weight estimation of vehicles Scalable AI computational framework for seismic response simulation of million-scale urban building clusters Three-stage risk-informed framework for developing dynamic inspection programs of large heterogenous infrastructure inventories Attention-enhanced dual-stage deep learning for automated tunnel crack detection and quantification A clustering-augmented transfer learning framework for tunnel boring machine cutterhead thrust prediction and risk warning Physics-informed temporal convolutional network with bidirectional gated recurrent unit developed for rapid prediction of seismic response time-histories of building structures A rapid optimization method for ballastless track irregularity based on dynamic chord constraints in track maintenance A dual-graph evidential transformer framework for highway vehicle trajectory prediction A personalized social force-based lane-changing model with a new optimizer A large language model-driven framework for automated bridge specification generation and simulation validation Thermo-mechanical modeling of pavement’s response considering asphalt concrete’s tension-compression asymmetry An adaptive deep neural network-based assessment framework for environmental-cost-mechanical performance of engineered cementitious composites Early warning model for secondary collapse of semi-ruined reinforced concrete frame structures under Aftershocks Prior-knowledge-infused neural network framework for experimental design of stochastic hybrid simulation A reinforcement learning and nonlinear adaptive backstepping hierarchical control for autonomous remote construction using 5G network A FAST AND ACCURATE PHASE-BASED DISPLACEMENT MEASUREMENT METHOD BASED ON COMPLEX LAPLACIAN PYRAMID WITH CONDENSED FOCUS FREQUENCY Density-Constrained Contour Analysis for Unmanned Aerial Vehicle-Based 3D Building Reconstruction and Measurement Target-free cable force identification using robust subpixel vibration estimation under severe disturbances Integrated optimization of train timetables, formations, and unit connections with multiple operational strategies in urban rail transit systems Autonomous inspection method for insulator strings using an unmanned aerial vehicle A Calibration Framework for Wind-Induced Responses of Tall Building Based on Fast Nonlinear Analysis Unsupervised domain adaptation framework for crack segmentation using consistency regularization based on cross-domain image augmentation Operational-Level Centralized Maintenance Scheduling Optimization for Urban Rail Transit Infrastructure under Network Conditions An Explainable Convolutional Neural Network Using Human-Attention-Guided Feature Extraction for Earthquake Damage Detection in Wooden Houses Self-Supervised Adaptation of Dense Pavement Image Matching for Long-Term Road Monitoring under Challenging Visual Conditions Reproducing traffic loads on long-span bridges via fusion of sparse cameras and weigh-in-motion information Heterogeneous Graph Modeling for Predictive Safety Control in the Continuous Casting Process Record Length Coefficient in Up-Crossing Rate Analysis for Design Wind Velocities