Embedded Adaptive Admittance Control for a Modular Hip Exoskeleton Using Deep Learning-Based Gait-Phase Estimation. [PDF]
Nguyen TA, Vo CP, Kim Y, Shim Y, Kim SJ.
europepmc +1 more source
Comparative study on fatigue evaluation of suspenders by introducing actual vehicle trajectory data. [PDF]
Pan Y, Dong Y, Wang D, Cao S, Chen A.
europepmc +1 more source
Data-driven rapid assessment of bridge responses under mixed traffic with restricted overloaded vehicles using machine learning. [PDF]
Luo B +6 more
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Implementation of Portable Weigh-in-Motion (WIM) Technology on Texas Highways: Workshop
US Transportation Collection2022PDFPresentationsTexas A&M Transportation InstituteTexas Department of Transportation. Research and Technology Implementation OfficeUnited States. Department of Transportation.
core
Physics-guided estimation of freight vehicle loading status using digital tachograph data. [PDF]
Tak J, Hong J, Park D.
europepmc +1 more source
Vehicle-Bridge Interaction Modelling Using Precise 3D Road Surface Analysis. [PDF]
Kreslin M +5 more
europepmc +1 more source
A Novel CNN-LSTM Algorithm for Strain Time Series Prediction of Orthotropic Steel Bridge Decks. [PDF]
Zhang H, Meng M, Zhao L.
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Assessment of the accuracy of Bridge Weigh-In-Motion (B-WIM) system in Indonesia
W. Nugraha, S. Ramadhani, G. Sukmara
openaire +1 more source
Bridge Weigh-in-Motion (B-WIM) System Testing and Evaluation
013835752012Final report; 1/1/2007-12/31/2008.PDFTech ReportFHWA/CA/ORUTCA Report Number 07212Weigh in motionWeigh in motion scalesData collectionAnalysisBridgesTestingEvaluationResearch HubWeigh in motionWeigh in motion scalesData ...
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Vehicle Load Information Acquisition Using Roadside Micro-Electromechanical Systems Accelerometers. [PDF]
Zhao Q, Ye Z, Tan Z, Xu J, Wang L.
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