Ara
Toplam kayıt 70, listelenen: 11-20
Investigation of tugboat accidents severity: An application of association rule mining algorithms
(Elsevier, 2021)
This paper aims to investigate tugboat accidents using various association rule mining algorithms. A total of 477 tugboat accident records obtained from the Information Handling Services (IHS) Sea-Web database for the ...
A fuzzy-bayesian approach on the bankruptcy of hanjin shipping
(Galenos Yayıncılık, 2022)
The vital role of container liner shipping in international trade suggests that understanding why container liner firms go bankrupt is crucial to the sustainability of the maritime supply chain to improve resilience. ...
Application of fuzzy Bayesian approach on bankruptcy causes for container liner industry
(Elsevier, 2022)
The crucial role of the container liner industry in international trade suggests that understanding why container liner firms go bankrupt is vital to the stability, sustainability, and health of container liner transportation. ...
Data-driven Bayes approach on marine accidents occurring in Istanbul strait
(Elsevier, 2022)
Analysing of marine accidents is crucial for vessels passing through narrow and busy waterways. The Istanbul Strait is one of the narrowest channels in the world and is exposed to intense maritime traffic. Taking accidents ...
A safety risk assessment for ship boarding parties from fuzzy Bayesian networks perspective
(Taylor & Francis Ltd., 2022)
Many people embark and disembark on merchant ships to perform various duties while ships are moored in ports. Some units, such as marine pilots and coast guards, must board and disembark the ships while they are underway. ...
Assessment of marine diesel engine crankshaft damages
(Taylor & Francis Ltd., 2022)
The failure of the main engine's crankshaft in service on a large ocean-going cargo ship is a major operational and mechanical calamity. Despite the fact that crankshaft damage is rare, it is quite costly. Given the financial ...
Analysis of accidents during vehicle stowage on RO-RO vessels by using Fuzzy Bayesian networks
(Elsevier, 2022)
Maritime transport is a risky type of transport due to its nature. As a result of the accidents, serious consequences that cause death, material damage and environmental pollution occur. Therefore, maritime safety researchers ...
A novel thiourea derivative for preconcentration of copper(II), nickel(II), cadmium(II), lead(II) and iron(II) from seawater samples for Flame Atomic Absorption Spectrophotometry
(Elsevier, 2022)
A novel adsorbent, 3-phenyl-1-(2-pyridyl)thiourea (PPTU) was synthesized and its adsorption capabilities were studied for Cu(II), Cd(II), Ni(II), Pb(II) and Fe(II) cations in the waters such as tap and polluted seawaters. ...
Multiple linear regression analysis and artificial neural networks based decision support system for energy efficiency in shipping
(Elsevier, 2022)
The studies of energy efficiency in shipping have grown in importance in light of recent air pollution developments. Moreover, the Fourth Greenhouse Gas (GHG) Study of the International Maritime Organization (IMO) has also ...
A Fuzzy Bayesian approach for 'Appraisal' of ship voyage plans
(Taylor & Francis Ltd., 2022)
The voyage plans are vital for safe navigation. Organisations such as the International Maritime Organization (IMO) and International Chamber of Shipping (ICS) have established guidelines for voyage planning to decrease ...