[HTML][HTML] A novel method for ship carbon emissions prediction under the influence of emergency events
Accurate prediction of ship emissions aids to ensure maritime sustainability but encounters
challenges, such as the absence of high-precision and high-resolution databases, complex …
challenges, such as the absence of high-precision and high-resolution databases, complex …
Hourly PM2. 5 concentration prediction for dry bulk port clusters considering spatiotemporal correlation: A novel deep learning blending ensemble model
J Shen, Q Liu, X Feng - Journal of Environmental Management, 2024 - Elsevier
Accurate prediction of PM 2.5 concentrations in ports is crucial for authorities to combat
ambient air pollution effectively and protect the health of port staff. However, in port clusters …
ambient air pollution effectively and protect the health of port staff. However, in port clusters …
Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning
W Wang, B Liu, Q Tian, X Xu, Y Peng, S Peng - Environmental Pollution, 2024 - Elsevier
Dust pollution from storage and handling of materials in dry bulk ports seriously affects air
quality and public health in coastal cities. Accurate prediction of dust pollution helps identify …
quality and public health in coastal cities. Accurate prediction of dust pollution helps identify …
A study on the forecast of fine dust emissions in the future according to the introduction of eco-friendly ships
This study analyzes the anticipated impact of the deployment of green ships on reducing air
pollutant emissions. We estimated air pollutant emissions from ships in Incheon Port, South …
pollutant emissions. We estimated air pollutant emissions from ships in Incheon Port, South …
Analyzing and forecasting air pollution concentration in the capital and Southern Thailand using a lag-dependent Gaussian process model
The air pollution problem has now amassed worldwide attention due to its multifaceted harm
to human health. Exploring the concentration of air pollution and improving forecast have …
to human health. Exploring the concentration of air pollution and improving forecast have …
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding
. Most real-world variables are multivariate time series influenced by past values and
explanatory factors. Consequently, predicting these time series data using artificial …
explanatory factors. Consequently, predicting these time series data using artificial …
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port
The increase in global trade, the impact of COVID-19, and the tightening of environmental
and safety regulations have brought significant changes to the maritime transportation …
and safety regulations have brought significant changes to the maritime transportation …
Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data
Time-series forecasting has widely been addressed in data science and various domains,
but many limitations persist in terms of prediction accuracy. We propose a network …
but many limitations persist in terms of prediction accuracy. We propose a network …
Ship emission projections based on time series forecasting model for sustainable shipping in the strait of Malacca and Singapore
As maritime activities continue to play a pivotal role in global trade, concerns over ship
emissions' environmental impact have intensified. This study presents detailed projection of …
emissions' environmental impact have intensified. This study presents detailed projection of …
Port Congestion and Urban Particulate Matter Concentration: A Machine Learning Based Study
M Su, J Li, Z Su, W Kim - Available at SSRN 4853508 - papers.ssrn.com
Port congestion has become a critical transportation issue that port cities urgently need to
address. More importantly, there has been limited research focusing on the impact of port …
address. More importantly, there has been limited research focusing on the impact of port …