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Automatic generation of fine‐grained traffic load spectrum via fusion of weigh‐in‐motion and vehicle spatial–temporal information
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/stc.1780openalex-snapshot
Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology
inferredcites →https://doi.org/10.1002/stc.2636openalex-snapshot
An accurate and robust monitoring method of full‐bridge traffic load distribution based on YOLO‐v3 machine vision
inferredcites →https://doi.org/10.1006/jsvi.1996.0774openalex-snapshot
MOVING FORCE IDENTIFICATION: A TIME DOMAIN METHOD
inferredcites →https://doi.org/10.1006/jsvi.1998.1904openalex-snapshot
AN INTERPRETIVE METHOD FOR MOVING FORCE IDENTIFICATION
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FEMa: a finite element machine for fast learning
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A dynamic ensemble learning algorithm for neural networks
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Performance-based structural health monitoring through an innovative hybrid data interpretation framework
inferredcites →https://doi.org/10.1016/j.engstruct.2009.02.013openalex-snapshot
Characteristic dynamic traffic load effects in bridges
inferredcites →https://doi.org/10.1016/j.engstruct.2017.10.070openalex-snapshot
A novel unsupervised deep learning model for global and local health condition assessment of structures
inferredcites →https://doi.org/10.1016/j.engstruct.2019.109426openalex-snapshot
Time-dependent reliability assessment of existing concrete bridges including non-stationary vehicle load and resistance processes
inferredcites →https://doi.org/10.1016/j.jsv.2007.03.057openalex-snapshot
Recent research on identification of moving loads on bridges
inferredcites →https://doi.org/10.1016/j.measurement.2019.05.042openalex-snapshot
Identification of moving loads based on the information fusion of weigh-in-motion system and multiple camera machine vision
inferredcites →https://doi.org/10.1016/j.neunet.2009.05.003openalex-snapshot
A probabilistic neural network for earthquake magnitude prediction
inferredcites →https://doi.org/10.1016/j.strusafe.2006.11.006openalex-snapshot
Characteristic traffic load effects from a mixture of loading events on short to medium span bridges
inferredcites →https://doi.org/10.1061/(asce)0733-9445(1988)114:8(1724)openalex-snapshot
Wheel Loads From Bridge Strains: Laboratory Studies
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2005)131:10(771)openalex-snapshot
Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1061/(asce)as.1943-5525.0000917openalex-snapshot
Site-Specific Extra-Heavy Truck Load Characteristics and Bridge Safety Assessment
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0000666openalex-snapshot
Characteristics and Dynamic Impact of Overloaded Extra Heavy Trucks on Typical Highway Bridges
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001474openalex-snapshot
Virtual Axle Method for Bridge Weigh-in-Motion Systems Requiring No Axle Detector
inferredcites →https://doi.org/10.1061/tpejan.0000783openalex-snapshot
Weigh-in-Motion System Using Instrumented Bridges
inferredcites →https://doi.org/10.1088/0964-1726/19/1/015019openalex-snapshot
Integration of computer imaging and sensor data for structural health monitoring of bridges
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An introduction to multisensor data fusion
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Multisensor fusion of target attributes and kinematics
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inferredcites →https://doi.org/10.1109/tie.2017.2764844openalex-snapshot
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inferredcites →https://doi.org/10.1109/tnnls.2017.2682102openalex-snapshot
A New Neural Dynamic Classification Algorithm
inferredcites →https://doi.org/10.1109/tpami.2004.45openalex-snapshot
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inferredcites →https://doi.org/10.1111/0885-9507.00219openalex-snapshot
Neural Networks in Civil Engineering: 1989–2000
inferredcites →https://doi.org/10.1111/mice.12269openalex-snapshot
Development of a Cost‐Effective Wireless Vibration Weigh‐In‐Motion System to Estimate Axle Weights of Trucks
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Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
inferredcites →https://doi.org/10.1111/mice.12421openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12425openalex-snapshot
Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
inferredcites →https://doi.org/10.1111/mice.12430openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12434openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12454openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12530openalex-snapshot
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Moving Force Identification—A Frequency and Time Domains Analysis
inferredcites →https://doi.org/10.1117/12.2515617openalex-snapshot
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inferredcites →https://doi.org/10.3141/1769-12openalex-snapshot
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inferredcites →https://doi.org/10.3233/ica-2010-0345openalex-snapshot
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s13349-022-00552-wopenalex-snapshot
Fine-grained identification of vehicle loads on bridges based on computer vision
inferred← citeshttps://doi.org/10.1007/s13349-025-00911-3openalex-snapshot
Feasibility study of bridge load testing using ongoing traffic through rapid estimation of traffic load effects for network-level highway bridges assisted by site-specific ETC data
inferred← citeshttps://doi.org/10.1007/s43684-021-00015-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aei.2025.103165openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104985openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100239openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100240openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cstp.2023.101023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107972openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.120245openalex-snapshot
A method for long-distance traffic load reconstruction by fusing multi-source information
inferred← citeshttps://doi.org/10.1016/j.engstruct.2026.123923openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125872openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.istruc.2023.04.025openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.istruc.2023.05.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.istruc.2023.105654openalex-snapshot
Time-varying traffic load model of expressway based on long-term monitored data from multiple regions — A case in central and eastern China
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.108598openalex-snapshot
Machine learning-empowered intelligent vehicle–bridge systems: Current status and future prospects
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.108981openalex-snapshot
Performance of bridge weigh-in-motion methods considering environmental temperature field effect
inferred← citeshttps://doi.org/10.1016/j.jcsr.2026.110650openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jtte.2023.07.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2021.110408openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111578openalex-snapshot
Cross-camera tracking of vehicle loads based on deep metric learning and edge computing
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112754openalex-snapshot
Traffic load simulation on bridges based on improved non-contact machine vision technique and multi-source information fusion
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.121010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2026.121379openalex-snapshot
A framework for vehicle tracking and fine-grained spatio-temporal statistical load estimation using an infrared traffic camera
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.122919openalex-snapshot
Non-contact vehicle weigh-in-motion (WIM) for bridge health monitoring: a review
inferred← citeshttps://doi.org/10.1016/j.tws.2026.115525openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112978openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-024-55873-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/15732479.2025.2532178openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ae6f38openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/iti/liae005openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11468077openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iceem58740.2023.10319619openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iciea61579.2024.10665088openalex-snapshot
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