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Browsing Deniz Ulaştırma İşletme Mühendisliği by Author

Browsing Deniz Ulaştırma İşletme Mühendisliği by Author "0000-0002-5949-0193"

Now showing items 1-11 of 11

An analysis of severity of oil spill caused by vessel accidents

Cakir, Erkan; Sevgili, Coskan; Fiskin, Remzi (PERGAMON-ELSEVIER SCIENCE LTD OXFORD, 2021)

Marine pollution, especially oil spill-based, affects both marine and coastal environment is one of the most important issues for the maritime industry. The accurate prediction of the severity of oil spill is of great ...
A data-driven Bayesian Network model for oil spill occurrence prediction using tankship accidents

Sevgili, Coskan; Fiskin, Remzi; Cakir, Erkan (ELSEVIER SCI LTD-OXFORD, 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 ...
Decision Tree and Logistic Regression Analysis to Explore Factors Contributing to Harbour Tugboat Accidents

Fiskin, Remzi; Cakir, Erkan; Sevgili, Coskan (CAMBRIDGE UNIV PRESS NEW YORK, 2021)

As tugboats interact very closely with ships in restricted waters, the possibility of accidents increases in these operations. Despite the high accident possibility, there is a gap in studies on tugboat accidents. This ...
DETERMINISTIC-BASED SHIP ANTI-COLLISION ROUTE OPTIMIZATION WITH WEB-BASED APPLICATION

(Nasibov, E.; Fiskin, R.; Yardimci, M. O. (ROYAL INST NAVAL ARCHITECTS, 10 UPPER BELGRAVE ST, LONDON SW1X 8BQ, ENGLAND, 2019)

Most of the accidents are caused by human error at sea so, decision making process made by navigators should be more computerised and automated. The supported decision making can be a step forward to decrease the risk of ...
The Editorial

Fiskin, Remzi (GALENOS PUBL HOUSE-ISTANBUL, 2022)
Fuzzy domain and meta-heuristic algorithm-based collision avoidance control for ships: Experimental validation in virtual and real environment

Fiskin, Remzi; Atik, Oguz; Kisi, Hakki; Nasibov, Efendi; Johansen, Tor Arne (PERGAMON-ELSEVIER SCIENCE LTD OXFORD, 2021)

Collisions at sea are frequently caused by human-related factors, such as; manoeuvre timing mistakes, risk assessment failures and deficiencies in strategies for collision avoidance. These factors reveal the importance of ...
A Fuzzy Rule-Based Approach to Determine an Asymmetrical Polygonal Ship Domain

Yardimci, Mehmet Oguz; Fiskin, Remzi; Nasibov, Efendi (IEEE-NEW YORK, 2019)

Navigators expect to feel comfortable while passing a ship and an obstacle at sea. This feeling has led to reveal the concept of ship domain. The ship domain is one of the criteria for navigational risk assessment and one ...
A Fuzzy Ship Domain-Based Method for Collision Avoidance at Sea

Nasibov, Efendi; Fiskin, Remzi; Yardimci, Mehmet Oguz (IEEE-NEW YORK, 2019)

The paper presents an asymmetrical polygonal fuzzy ship domain-based ship collision avoidance method considering COLREGs. The user interface is formed for practical collision avoidance decision support function via using ...
A hybrid model for marine accident analysis based on Bayesian Network (BN) and Association Rule Mining (ARM)

Ozaydin, Emre; Fiskin, Remzi; Ugurlu, Ozkan; Wang, Jin (PERGAMON-ELSEVIER SCIENCE LTD-OXFORD, 2022)

In order to ensure sustainable maritime safety, studies based on unreported maritime accidents in maritime transport are necessary. Such studies allow the causes of accidents that have not come to light, to be identified ...
Investigation of tugboat accidents severity: An application of association rule mining algorithms

Cakir, Erkan; Fiskin, Remzi; Sevgili, Coskan (ELSEVIER SCI LTD OXFORD, 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 knowledge-based framework for two-dimensional (2D) asymmetrical polygonal ship domain

Fiskin, Remzi; Nasiboglu, Efendi; Yardimci, Mehmet Oguz (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2020)

Ship domain is crucial for traffic risk assessment and safe navigation at sea especially in high-density traffic. This study proposes a fuzzy rule-based model to create an asymmetrical polygonal ship domain for both ...

Now showing items 1-11 of 11

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Browsing Deniz Ulaştırma İşletme Mühendisliği by Author "0000-0002-5949-0193"

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