Results 61 to 70 of about 4,220,365 (165)

Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review

Information
The maritime industry is integral to global trade and heavily depends on precise forecasting to maintain efficiency, safety, and economic sustainability.
Meng Wang, Xinyan Guo, Yanling She, Yang Zhou, Maohan Liang, Zhong Shuo Chen   +5 more
doaj   +1 more source

Evaluation of the effect of rough seas on engine output, ship speed and fuel consumption [PDF]

, 2007
We acquired data on the relationships between engine output, ship speed and fuel consumption, and used these data to evaluate the operation of ships. In order to clarify the effect of rough seas on the engine output, ship speed and fuel consumption and ...
コマツ, カズヤ, 小松, 和也, 津田, 稔, Miyoshi, Yoshihiro, ミヨシ, ヨシヒロ, 1220, 30399638, 00399643, 前田, 和幸, Tsuda, Minoru, Maeda, Kazuyuki, 1877, 2921, Komatsu, Kazuya, ツダ, ミノル, マエダ, カズユキ, 3015, 三好, 佳廣   +17 more
core  

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

JOIV: International Journal on Informatics Visualization
This review article looks at the developing field of artificial intelligence and machine learning in maritime and marine environment management.
Van Vien Vu, Phuoc Tai Le, Thi Mai Thom Do, Thi Thuy Hieu Nguyen, Nguyen Bao Minh Tran, Prabhu Paramasivam, Thi Thai Le, Huu Cuong Le, Thanh Hieu Chau   +8 more
doaj   +1 more source

Improving Long-Range Significant Wave Height Forecasts for Maritime Energy Efficiency: A Residual U-Net Approach Validated with Real-Ship Fuel Consumption Data

Journal of Marine Science and Engineering
Accurate significant wave height prediction is essential for fuel-efficient ship operation and weather routing, as wave-induced resistance directly affects propulsion demand and fuel consumption.
Hyunju Lee, Jaehee Jung, Joon-Woo Roh
doaj   +1 more source

Coupling between flexible ship and liquid sloshing using potential flow analysis

, 2010
The significant increase in demand for Liquefied Natural Gas (LNG) and the economic aspects of its transportation resulted in increases in the number and size of LNG carriers.
Temarel, Pandeli, Pandeli Temarel, Shihua Miao, Lee, Youngbum, Youngbum Lee, Miao, Shihua, Tan, Mingyi, Mingyi Tan   +7 more
core   +2 more sources

A Novel ROA-Optimized CNN-BiGRU Hybrid Network with an Attention Mechanism for Ship Fuel Consumption Prediction

Journal of Marine Science and Engineering
Optimizing ship energy efficiency and advancing the green transition of the shipping industry depend on an accurate model for predicting ship fuel consumption (FC). This study builds a hybrid prediction model that combines a Convolutional Neural Network (
Zifei Wang, Kai Wang, Zhongwei Li, Hongzhi Liang, Shuo Yin, Qitai Ma, Diankang Zhang, Weijie Xiong   +7 more
doaj   +1 more source

Research on Multi-Objective Ship Speed Optimization Based on Evolutionary Deep Learning

Journal of Marine Science and Engineering
The maritime industry faces the urgent challenge of reducing greenhouse gas (GHG) emissions while maintaining economic viability, especially under the International Maritime Organization’s (IMO) Net-Zero Framework and Carbon Intensity Indicator (CII ...
Jinfeng Zhang, Zijun Tu, Taoning Yang, Junchi Zhu, Yongqiang Sun   +4 more
doaj   +1 more source

Full-Scale Identification of Baseline and Extended Voith–Schneider Propulsion Models from Sparse Data

Polish Maritime Research
This paper describes the identification of low-order input–output models of a Voith–Schneider propulsion system based on a very limited set of full-scale data from a minehunter vessel.
Socik Paweł, Zadrąg Ryszard, Zacharewicz Marcin, Bogdanowicz Artur, Sigiel Norbert   +4 more
doaj   +1 more source

Interpretable, data-driven models for predicting shaft power, fuel consumption, and speed considering the effects of hull fouling and weather conditions

International Journal of Naval Architecture and Ocean Engineering
In response to the global call for action to reduce CO2 emissions, operational measures such as speed, route optimization, and hull cleaning play a significant role in the maritime industry.
Hyun Soo Kim, Myung-Il Roh
doaj   +1 more source

“Autonomous Shipping: Ship Fuel Consumption Prediction with Machine Learning”

Marine transport is a primary facilitator of global trade but is increasingly being pushed to reduce fuel usage on economic and environmental bases. Accurate prediction of ship fuel consumption can potentially optimize operating performance, make sustainable operations feasible, and support regulatory compliance.
openaire   +1 more source