[HTML][HTML] Emerging approaches applied to maritime transport research: Past and future
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 …
transport research can be roughly divided into two categories, namely the shipping side and …
[HTML][HTML] Data-driven Bayesian network for risk analysis of global maritime accidents
Maritime risk research often suffers from insufficient data for accurate prediction and
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
Leverage Bayesian network and fault tree method on risk assessment of LNG maritime transport shipping routes: Application to the China–Australia route
Z Chang, X He, H Fan, W Guan, L He - Journal of Marine Science and …, 2023 - mdpi.com
The China–Australia Route, which serves as the southern economic corridor of the '21st
Century Maritime Silk Road', bears great importance in safeguarding maritime transportation …
Century Maritime Silk Road', bears great importance in safeguarding maritime transportation …
[HTML][HTML] A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
Risk assessment for berthing of hazardous cargo vessels using Bayesian networks
RU Khan, J Yin, FS Mustafa, N Anning - Ocean & Coastal Management, 2021 - Elsevier
Life and property losses along environmental pollution caused by accidents in the
transportation of hazardous goods have raised serious concerns over the efficient handling …
transportation of hazardous goods have raised serious concerns over the efficient handling …
Factor assessment of hazardous cargo ship berthing accidents using an ordered logit regression model
Ship berthing is an intricate operation with a high accident rate, the consequence severity of
which is further augmented by the presence of hazardous cargo. An understanding of the …
which is further augmented by the presence of hazardous cargo. An understanding of the …
Analyzing human factor involvement in sustainable hazardous cargo port operations
RU Khan, J Yin, FS Mustafa, S Wang - Ocean Engineering, 2022 - Elsevier
The catastrophic consequences of the recent hazardous cargo port accidents have raised
serious concerns for the port safety and maritime transportation officials. Human factor is one …
serious concerns for the port safety and maritime transportation officials. Human factor is one …
On the influence of human factors on safety of remotely-controlled merchant vessels
With numerous efforts undertaken by both industry and academia to develop and implement
autonomous merchant vessels, their safety remains an utmost priority. One of the modes of …
autonomous merchant vessels, their safety remains an utmost priority. One of the modes of …
A data centered human factor analysis approach for hazardous cargo accidents in a port environment
Recently, hazardous cargo accidents such as those at Beirut and Tianjin ports have raised
serious concerns over how high-risk cargoes should be handled. While the role of human …
serious concerns over how high-risk cargoes should be handled. While the role of human …
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
L Hussain, AA Malibari, JS Alzahrani, M Alamgeer… - Scientific Reports, 2022 - nature.com
Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are developing tools based on static and dynamic feature extraction and …
Researchers are developing tools based on static and dynamic feature extraction and …