Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning based System for Vessel Turnaround Time Prediction   In this paper, we present a novel system for predicting vessel turnaround
time, based on machine learning and standardized port call data. We also
investigate the use of specific external maritime big data, to enhance the
accuracy of the available data and improve the performance of the developed
system. An extensive evaluation is performed in Port of Bordeaux, where we
report the results on 11 years of historical port call data and provide
verification on live, operational data from the port. The proposed automated
data-driven turnaround time prediction system is able to perform with increased
accuracy, in comparison with the current manual expert-based system in Port of
Bordeaux.

11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph