[HTML][HTML] Review of current regulations, available technologies, and future trends in the green shipping industry

M Tadros, M Ventura, CG Soares - Ocean Engineering, 2023 - Elsevier
This paper presents a comprehensive review of the current regulations and the various
technologies as well as the decision support methods for each technology the maritime …

A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics

M Woschank, E Rauch, H Zsifkovits - Sustainability, 2020 - mdpi.com
Industry 4.0 concepts and technologies ensure the ongoing development of micro-and
macro-economic entities by focusing on the principles of interconnectivity, digitalization, and …

Data analytics for fuel consumption management in maritime transportation: Status and perspectives

R Yan, S Wang, HN Psaraftis - … Part E: Logistics and Transportation Review, 2021 - Elsevier
The shipping industry is associated with approximately three quarters of all world trade. In
recent years, the sustainability of shipping has become a public concern, and various …

[HTML][HTML] Emerging approaches applied to maritime transport research: Past and future

R Yan, S Wang, L Zhen, G Laporte - Communications in Transportation …, 2021 - Elsevier
Maritime transport is the backbone of international trade and globalization. Maritime
transport research can be roughly divided into two categories, namely the shipping side and …

A comprehensive review on the prediction of ship energy consumption and pollution gas emissions

K Wang, J Wang, L Huang, Y Yuan, G Wu, H Xing… - Ocean …, 2022 - Elsevier
Ship energy consumption and emission prediction are critical for ship energy efficiency
management and pollution gas emission control, both of which are major concerns for the …

Development of condition-based maintenance strategy for fault diagnosis for ship engine systems

Ç Karatuğ, Y Arslanoğlu - Ocean Engineering, 2022 - Elsevier
Shipping effectively covers a large part of cargo transportation in the world in an economical
and reliable way. Thus, energy-efficient operation on ships is an essential subject to ensure …

Discrete multi-objective artificial bee colony algorithm for green co-scheduling problem of ship lift and ship lock

QQ Zheng, Y Zhang, LJ He, HW Tian - Advanced Engineering Informatics, 2023 - Elsevier
This paper investigates a multi-objective green co-scheduling problem of ship lift and ship
lock (GCP-SL&SL) at the Three Gorges Cascade Hub (TGCH). A mathematical model of …

Use of artificial neural networks to predict fuel consumption on the basis of technical parameters of vehicles

J Ziółkowski, M Oszczypała, J Małachowski… - Energies, 2021 - mdpi.com
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles
and the way human impacts the environment, with a particular emphasis on the passenger …

[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

Y Yang, Y Liu, G Li, Z Zhang, Y Liu - Transportation research part E …, 2024 - Elsevier
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis

X Luo, R Yan, L Xu, S Wang - Energy, 2024 - Elsevier
The available extensive ship activity data enables employing a complex data-driven
resistance-based power model to estimate ship's instantaneous power, and thus the ship's …