A machine learning-based forecasting system of perishable cargo flow in maritime transport

A Machine Learning-based system for berth scheduling at bulk terminals

(2017) Alan Dávila de León et al.   EXPERT SYSTEMS WITH APPLICATIONS

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas

(2017) Florin Schimbinschi et al.   EXPERT SYSTEMS WITH APPLICATIONS

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)

(2016) Juan Jesús Ruiz Aguilar et al.   Dyna-Colombia

Distributed Compressive Sensing: A Deep Learning Approach

(2016) Hamid Palangi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression

(2015) J.J. Ruiz-Aguilar et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Analyzing passenger train arrival delays with support vector regression

(2015) Nikola Marković et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A new forecasting scheme for evaluating long-term prediction performances in supply chain management

(2014) Wook-Yeon Hwang et al.   International Transactions in Operational Research

Analysis and forecasting of port logistics using TEI@I methodology

(2013) Xin Tian et al.   TRANSPORTATION PLANNING AND TECHNOLOGY

An intermodal freight transport system for optimal supply chain logistics

(2013) Arnab Bhattacharya et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Kernel-Based Machine Learning Models for Predicting Daily Truck Volume at Seaport Terminals

(2010) Yuanchang Xie et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems

A comparison of univariate methods for forecasting container throughput volumes

(2009) Wen-Yi Peng et al.   MATHEMATICAL AND COMPUTER MODELLING

AADT prediction using support vector regression with data-dependent parameters

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS