Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis
The maritime industry is one of the most crucial sectors in the global economy, facilitating the transportation of goods and commodities across vast distances. However, maritime network congestion has become an increasingly critical challenge that significantly affects shipping efficiency and the ov...
Saved in:
Main Author: | Yalin Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2024/5225558 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Features of the use of big data in the financial sector
by: F. O. Chernenkov
Published: (2024-08-01) -
Research on Urban Traffic Industrial Management under Big Data: Taking Traffic Congestion as an Example
by: Yi Zhang, et al.
Published: (2022-01-01) -
Estimation of Congestion in Free Disposal Hull Models Using Data Envelopment Analysis
by: M. Abbasi, et al.
Published: (2014-01-01) -
Accident Data-Driven Consequence Analysis in Maritime Industries
by: Jiahui Shi, et al.
Published: (2025-01-01) -
Discrete Dynamic Modeling Analysis of Rural Revitalization and Ecotourism Sustainable Prediction Based on Big Data
by: Yao Tang
Published: (2022-01-01)