Ara
Toplam kayıt 63, listelenen: 11-20
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. ...
An empirical study on the effects of sea ice on ship tonnage per centimeter and cargo operations
(Marine Technology Soc Inc., 2022)
Many ports around the world are threatened by sea ice. Access by merchant ships to these ports is ensured by ice-breaking services. For the sensitivity of calculations of the amount of cargo on vessels carrying out loading ...
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 ...
A statistical analysis-based Bayesian Network model for assessment of mobbing acts on ships
(Taylor & Francis Inc., 2022)
Mobbing is a fundamental problem that disrupts the organization's structure and negatively affects its employees' safe work environment. The most critical issue in combating mobbing is increasing the awareness of victims, ...
A data-driven Bayesian Network model for oil spill occurrence prediction using tankship accidents
(Elsevier, 2022)
Oil spills are one of the most important issues facing the maritime industry, with a wide range of catastrophic environmental, social, and economic effects. While all marine accidents can cause pollution, tankships are ...