Journal & Article

SCI(E) Journal

I/F
# Journal I/F

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Cover Image, Volume 39, Issue 10. Issue Information. Cover Image, Volume 39, Issue 9. Issue Information. Cover Image, Volume 39, Issue 8. Issue Information. Cover Image, Volume 39, Issue 7. Issue Information. Optimizing net present values of risk avoidance for mountain railway alignments with seismic performance evaluation. Quantitative road crack evaluation by a U‐Net architecture using smartphone images and Lidar data. Predicting the life cycle durability and ecological performance of cementitious coatings with a fuzzy‐stochastics–based approach. Coloring and fusing architectural sketches by combining a Y‐shaped generative adversarial network and a denoising diffusion implicit model. Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network. A method of concrete damage detection and localization based on weakly supervised learning. An automated machine learning approach for classifying infrastructure cost data. Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions. Cover Image, Volume 39, Issue 5. Issue Information. Identifying dynamic interaction patterns in mandatory and discretionary lane changes using graph structure. A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation. An automation solution to convert CAD engineering drawings into railroad station models. Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park. Virtual‐real‐fusion simulation framework for evaluating and optimizing small‐spatial‐scale placement of cooperative roadside sensing units. Parallel optimization method of train scheduling and shunting at complex high‐speed railway stations. End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks. Fast topology optimization of phononic crystal‐based metastructures for vibration isolation by deep learning. Cover Image, Volume 39, Issue 4. Issue Information. Introduction. Hyper‐reduced order models for accelerating parametric analyses on reinforced concrete structures subjected to earthquakes. A graph‐based method for quantifying crack patterns on reinforced concrete shear walls. Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings. Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images. Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength. Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network. Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars. An integration–competition network for bridge crack segmentation under complex scenes. Cover Image, Volume 39, Issue 3. Issue Information. Sequential aero‐structural optimization method for efficient bridge design. Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs. Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment. Automated reconstruction model of a cross‐sectional drawing from stereo photographs based on deep learning. Multiclass seismic damage detection of buildings using quantum convolutional neural network. Synthetic‐to‐realistic domain adaptation for cold‐start of rail inspection systems. Biobjective optimization for railway alignment fine‐grained designs with parallel existing railways. Brain‐regulated learning for classifying on‐site hazards with small datasets. Cover Image, Volume 39, Issue 2. Issue Information. Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment.