Results 151 to 160 of about 19,253 (224)

A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges. [PDF]

Sensors (Basel)
Bris-Peñalver FJ, Verdecia-Peña R, Alonso JI.   +2 more
europepmc   +1 more source

Nonlinear buckling analysis of curved railway tracks considering unbalanced cant and train speed. [PDF]

Sci Rep
Chuadchim P, Ngamkhanong C, Aela P, Jing G, Kaewunruen S.   +4 more
europepmc   +1 more source

An improved YOLOv8n with multi-scale feature fusion for real time and high precision railway track defect detection. [PDF]

Front Artif Intell
Zhang Z, Zhang L, Lu X, Ma T, Huang F, Zhong S.   +5 more
europepmc   +1 more source

Modeling of railway track integrating a shock-absorbing mat at the sleepers-ballast interface using eigenfunctions of displacement. [PDF]

Sci Rep
Moubeke CA, Chanceu A, Sanga RPL, Ntamack GE, D'Ouazzane SC.   +4 more
europepmc   +1 more source

Edge-guided multi-scale instance segmentation for railway track. [PDF]

Sci Rep
Lin J, Yang W, Du X.
europepmc   +1 more source

Railway Transition Zones: Energy Evaluation of a Novel Transition Structure for Critical Loading Conditions. [PDF]

J Vib Eng Technol
Jain A, Metrikine AV, Steenbergen MJMM, Dalen KNV.   +3 more
europepmc   +1 more source

Advancing Circular Economy Implementation for High-Speed Train Rolling Stocks by the Integration of Digital Twins and Artificial Intelligence. [PDF]

Sensors (Basel)
Khongsomchit L, Kaewunruen S.
europepmc   +1 more source

DualSightNet: A novel dual architecture for visual quality control of railway infrastructure. [PDF]

PLoS One
Mai C, Eisentraut L, Ketterer J, Buettner R.   +3 more
europepmc   +1 more source

Frost heave behavior of coarse-grained materials for high-speed railways subgrade: experimental analysis and machine learning predictive modeling. [PDF]

Sci Rep
Li S, Wang K, Tian S, Xing W, Ling X, Tang L, Li G, Zhao W.   +7 more
europepmc   +1 more source

Weed control and environmental risk assessment of herbicides in a Brazilian Atlantic forest railway ecosystem. [PDF]

Sci Rep
Carbonari CA, Simões PS, Costa RN, Pitelli RA, Velini ED.   +4 more
europepmc   +1 more source