Related references
Note: Only part of the references are listed.Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction
Meng Ma et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics
Pasquale Ardimento et al.
NEUROCOMPUTING (2021)
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method
Jinlei Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm
Lin Li et al.
JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING (2021)
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering
Rui Yan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A Novel Big Data Collection System for Ship Energy Efficiency Monitoring and Analysis Based on BeiDou System
Xiangming Zeng et al.
JOURNAL OF ADVANCED TRANSPORTATION (2021)
Estimation of interregional rail passengers ? valuations for their desired departure times
Felix Vautard et al.
TRANSPORT POLICY (2021)
Deep learning-based automated underground cavity detection using three-dimensional ground penetrating radar
Man-Sung Kang et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)
A noise-immune LSTM network for short-term traffic flow forecasting
Lingru Cai et al.
CHAOS (2020)
Automatic detection of moisture damages in asphalt pavements from GPR data with deep CNN and IRS method
Jun Zhang et al.
AUTOMATION IN CONSTRUCTION (2020)
Using Deep Learning to Forecast Maritime Vessel Flows
Xiangyu Zhou et al.
SENSORS (2020)
Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in Spain
Oscar Trull et al.
APPLIED SCIENCES-BASEL (2020)
Predicting the Volatility of Highway Construction Cost Index Using Long Short-Term Memory
Yang Cao et al.
JOURNAL OF MANAGEMENT IN ENGINEERING (2020)
Bidirectional Spatial-Temporal Network for Traffic Prediction with Multisource Data
Tuo Sun et al.
TRANSPORTATION RESEARCH RECORD (2020)
Time Series Prediction of Wastewater Flow Rate by Bidirectional LSTM Deep Learning
Hoon Kang et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)
An Evaluation Framework and Algorithms for Train Rescheduling
Sai Prashanth Josyula et al.
ALGORITHMS (2020)
A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative
Shiqi Li et al.
SUSTAINABILITY (2019)
Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies
Zhengchao Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Construction of prediction model of neural network railway bulk cargo floating price based on random forest regression algorithm
Jingwei Guo et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Assessment of airport arrival congestion and delay: Prediction and reliability
Alvaro Rodriguez-Sanza et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting
Yun Ju et al.
IEEE ACCESS (2019)
Comprehensive optimization of urban rail transit timetable by minimizing total travel times under time-dependent passenger demand and congested conditions
Tianyu Zhang et al.
APPLIED MATHEMATICAL MODELLING (2018)
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials
Qingchao Liu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
LSTM network: a deep learning approach for short-term traffic forecast
Zheng Zhao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Passenger flow estimation based on convolutional neural network in public transportation system
Guojin Liu et al.
KNOWLEDGE-BASED SYSTEMS (2017)
GA-ARMA Model for Predicting IGS RTS Corrections
Mingyu Kim et al.
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING (2017)
Development of a probabilistic graphical model for predicting building energy performance
Zheng O'Neill et al.
APPLIED ENERGY (2016)
Evaluating rail transit timetable using big passengers' data
Zhibin Jiang et al.
JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2016)
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Xiaolei Ma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Deep Convolutional Neural Networks for Classifying GPR B-Scans
Lance E. Besaw et al.
DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XX (2015)
A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy
Shuai Su et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Short-Term National Airspace System Delay Prediction Using Weather Impacted Traffic Index
Banavar Sridhar et al.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS (2009)
Share Paper
