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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
Engineering Failure Analysis, Vol. 131, Ocak 2022, ISSN: 1350-6307
ELİDOLU GİZEM, AKYÜZ EMRE, ARSLAN ÖZCAN, ARSLANOĞLU YASİN
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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
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The Role of the Accident Causes in Turkish Straits Marine Accidents
2nd International Conference on Engineering and Applied Natural Sciences, Konya/TÜRKİYE, 15 Ekim 2022
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SNAME 14th International Marine Design Conference, Vancouver, Canada, June 2022., Vancouver/KANADA, 26 Haziran 2022
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Human Factors' Contribution into Maritime Accidents by Applying the SHIELD HF Taxonomy
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Role Of Design and Operational Deficiencies on Occupational Accidents Onboard Merchant Ships
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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
Engineering Failure Analysis, Vol. 131, Ocak 2022, ISSN: 1350-6307
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Machine learning methods for predicting marine port accidents: a case study in container terminal
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A novel approach for the analysis of engineering complex system accidents: The casualty of the M/V Vitaspirit
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A novel approach for the analysis of engineering complex system accidents: The casualty of the M/V Vitaspirit
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Civil Engineering Evaluation of Factors Influencing Maritime Dangerous Cargo Transport Accidents-Induced Crew Fatalities and Serious
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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
Engineering Failure Analysis, Vol. 131, Ocak 2022, ISSN: 1350-6307
ELİDOLU GİZEM, AKYÜZ EMRE, ARSLAN ÖZCAN, ARSLANOĞLU YASİN
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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
Engineering Failure Analysis, Vol. 131, Ocak 2022, ISSN: 1350-6307
ELİDOLU GİZEM, AKYÜZ EMRE, ARSLAN ÖZCAN, ARSLANOĞLU YASİN
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Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents
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An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents
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The Evaluation of High Severe Occupational Accidents in Construction Industry
VI. ULUSLARARASI GAP MÜHENDİSLİK KONGRESİ, 8 Kasım 2018, s. 368-373, ISSN: 978-975-7113-68-3
AYHAN BİLAL UMUT,TOKDEMİR ONUR BEHZAT
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Quantitative failure analysis for static electricity-related explosion and fire accidents on tanker vessels under fuzzy bow-tie CREAM approach
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