Severe rail wear detection with rail running band images

Foreign object detection for railway ballastless trackbeds: A semisupervised learning method

(2022) Zhengxing Chen et al.   MEASUREMENT

Transferability improvement in short-term traffic prediction using stacked LSTM network

(2021) Junyi Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network

(2021) Weidong Wang et al.   AUTOMATION IN CONSTRUCTION

A deep reinforcement learning approach to mountain railway alignment optimization

(2021) Tianci Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Investigating high rail side wear in urban transit track through numerical simulation and field monitoring

(2021) Shaofeng Wang et al.   WEAR

Hybrid deep learning architecture for rail surface segmentation and surface defect detection

(2021) Yunpeng Wu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep Learning for the Detection and Recognition of Rail Defects in Ultrasound B-Scan Images

(2021) Zhengxing Chen et al.   TRANSPORTATION RESEARCH RECORD

Automatic Rail Surface Defects Inspection Based on Mask R-CNN

(2021) Feng Guo et al.   TRANSPORTATION RESEARCH RECORD

Defect classification based on deep features for railway tracks in sustainable transportation

(2021) Ilhan Aydin et al.   APPLIED SOFT COMPUTING

Automatic detection of arbitrarily oriented fastener defect in high-speed railway

(2021) Yunpeng Wu et al.   AUTOMATION IN CONSTRUCTION

Estimation of rail renewal period in small radius Curves: A data and mechanics integrated approach

(2021) Tianci Gao et al.   MEASUREMENT

Automatic railroad track components inspection using real‐time instance segmentation

(2020) Feng Guo et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Rail breaks arrival rate prediction: A physics-informed data-driven analysis for railway tracks

(2020) Faeze Ghofrani et al.   MEASUREMENT

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

(2020) Rene Ranftl et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

FEMa: a finite element machine for fast learning

(2019) Danilo R. Pereira et al.   NEURAL COMPUTING & APPLICATIONS

Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics

(2019) Faeze Ghofrani et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects

(2019) Reza Mohammadi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Bayesian Survival Approach to Analyzing the Risk of Recurrent Rail Defects

(2019) Faeze Ghofrani et al.   TRANSPORTATION RESEARCH RECORD

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals

(2019) Ahmad Hassanpour et al.   EXPERT SYSTEMS

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Deep Monocular Depth Estimation via Integration of Global and Local Predictions

(2018) Youngjung Kim et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Design of the Fall-Block Sensing of the Railway Line Pantograph Based on 3D Machine Vision Sensors

(2018) Kai Yang et al.   SENSORS

Recent applications of big data analytics in railway transportation systems: A survey

(2018) Faeze Ghofrani et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Method for evaluating the performance of railway crossing rails after long-term service

(2018) Zilong Wei et al.   TRIBOLOGY INTERNATIONAL

A rigorous fastener inspection approach for high-speed railway from structured light sensors

(2017) Qingzhou Mao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Distortion calibrating method of measuring rail profile based on local affine invariant feature descriptor

(2017) Chao Wang et al.   MEASUREMENT

Novel method for rail wear inspection based on the sparse iterative closest point method

(2017) Bing Yi et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

(2017) U. Rajendra Acharya et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Railway Fastener Inspection by Real-Time Machine Vision

(2015) Caglar Aytekin et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Motion deviation rectifying method of dynamically measuring rail wear based on multi-line structured-light vision

(2013) Junhua Sun et al.   OPTICS AND LASER TECHNOLOGY