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Forecasting
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Predictive analysis of sell-and-purchase shipping market: A PIMSE approach
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction
Development of an Algorithm for Predicting the Heat Resistance Temperature of Automotive Lamps
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Arterial corridor travel time prediction under non-recurring conditions
A graph multi-attention network for predicting airport delays
Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model
A human-centric machine learning based personalized route choice prediction in navigation systems
CNN-Based Object Detection and Distance Prediction for Autonomous Driving Using Stereo Images
Traffic Flow Forecasting of Graph Convolutional Network Based on Spatio-Temporal Attention Mechanism
A design method for rock groynes exposed to overtop-ping from long-period ship wave loads
A reliable emergency logistics network for COVID-19 considering the uncertain time-varying demands
Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network
Polynomial Guidance for Impact-Time Control Against Maneuvering Targets
Generic Deep-Learning-Based Time Series Models for Aviation Accident Analysis and Forecasting
Comparison of different Bayesian methods for estimating error bars with incident duration prediction
Network and station-level bike-sharing system prediction: a San Francisco bay area case study
A hedging policy for seaborne forward freight markets based on probabilistic forecasts
Fundamental challenge and solution methods in prescriptive analytics for freight transportation
Research on coordinated control of vehicle’s speed in new mixed traffic flow
Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data
To re-route, or not to re-route: Impact of real-time re-routing in urban road networks
A driving simulation study on drivers speed compliance with respect to variable message signs
AI-based neural network models for bus passenger demand forecasting using smart card data