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Performance, Emission and Economic Analysis of the Refrigetion Systems in Ship
4th INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING: ICAME 2018, İstanbul/TÜRKİYE, 19 Aralık 2018, s. 875-886
BAŞHAN VEYSİ,KAYA AHMET,ÖZSARI İBRAHİM,ARSLAN FEYYAZ,SÖNMEZ HALİL İBRAHİM
Parameter Optimization for Model-Based Design and Control of the KVLCC2 Tanker Ship
Journal of ETA Maritime Science, Vol. 12, No. 3, Eylül 2024, s. 346-356, ISSN: 2147-2955
SAYIN EMRE,BAYEZİT İSMAİL
Strait of Istanbul Crossing Simulation of a VLCC Type Ship in Autopilot Mode
JOURNAL OF ETA MARITIME SCIENCE, Vol. 7, No. 4, Kasım 2019, s. 304-316, ISSN: 2147-2955
BAYEZİT İSMAİL,BİTİRGEN RAHMAN,HANÇER MUHSİN,KINACI ÖMER KEMAL
Investigation of the Application and Training Requirements of Ram Analysis in Ship Machinery System
ERPA International Congresses on Education 2019, Sakarya/TÜRKİYE, 19 Haziran 2019, s. 617-624
BİÇEN SAMET,KANDEMİR ÇAĞATAY,ÇELİK METİN
A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Mayıs 2024, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
Ship Recycling and Marine Pollution
Marine Pollution Bulletin, Vol. 60, No. 2010, Mayıs 2010, s. 1390-1396, ISSN: 0025-326X
YENCHİANG CHANG,NANNAN WANG,DURAK ONUR SABRİ
Modified quantitative systems theoretic accident model and processes (STAMP) analysis: A catastrophic ship engine failure case
Ocean Engineering, Vol. 253, Haziran 2022, ISSN: 0029-8018
CEYLAN BULUT OZAN, AKYÜZ EMRE, ARSLANOĞLU YASİN
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
Design of a decision support system to achieve condition-based maintenance in ship machinery systems
OCEAN ENGINEERING, Vol. 281, Ocak 2023, s. 9, ISSN: 0029-8018
KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN, GUEDES SOARES CARLOS
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
Prediction of Resistance and Self-Propulsion Characteristics of a Full-Scale Naval Ship by CFD-Based GEOSIM Method
Journal of Ship Research, Vol. 65, No. 4, Aralık 2021, s. 346-361, ISSN: 0022-4502
DELEN CİHAD, CAN UGUR, BAL ŞAKİR
Şakir Bal Özgün Makale
A Parametric Study on Tandem Hydrofoil Interaction
(Joint) 19th International Conference on Hydrodynamics in Ship Design and 4th International Symposium on Ship Manoeuvring, 19 Eylül 2012, s. 144-155
KINACI ÖMER KEMAL,KÜKNER ABDİ,BAL ŞAKİR
Şakir Bal Tam metin bildiri
Prediction of Resistance and Self-Propulsion Characteristics of a Full-Scale Naval Ship by CFD-Based GEOSIM Method
Journal of Ship Research, Vol. 65, No. 4, Aralık 2021, ISSN: 0022-4502
DELEN CİHAD,CAN UĞUR,BAL ŞAKİR
Şakir Bal Özgün Makale
A Systematic Optimisation on the Energy Saving Devices for Ship, in Particular, Combination of Pre-Swirl Stator (PSS) and Duct
A. Yücel ODABAŞI Colloquium Series 4th International Meeting: Ship Design & Optimization and Energy Efficient Devices for Fuel Economy, İstanbul/TÜRKİYE, 15 Aralık 2022
ÖZSAYAN SELAHATTİN, AYDIN ÇAĞRI, KÖKSAL ÇAĞATAY SABRİ, KORKUT EMİN
Emin Korkut Tam metin bildiri
A fuzzy best-worst method (BWM) to assess the potential environmental impacts of the process of ship recycling
MARITIME POLICY & MANAGEMENT, Vol. 49, No. 3, Ocak 2022, s. 396-409, ISSN: 0308-8839
SÖNER ÖMER, ÇELİK ERKAN, AKYÜZ EMRE
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
A quantitative dynamic risk assessment for ship operation using the fuzzy FMEA: The case of ship berthing/unberthing operation
Ocean Engineering, Vol. 287, Kasım 2023, ISSN: 0029-8018
ARSLAN ÖZCAN, GÖKSU SERAP
Özcan Arslan Özgün Makale
Systems-Theoretic Accident Model and Processes (STAMP) approach to analyse socio-technical systems of ship allision in narrow waters
Ocean Engineering, Vol. 239, Kasım 2021, ISSN: 0029-8018
CEYLAN BULUT OZAN, AKYÜZ EMRE, ARSLAN ÖZCAN
Training Needs Analysis For The Turkish Ship Dismantling Industry
International Conference on Ship Recycling SHIPREC2013 – Malmö, Sweden, 7 - 9 April 2013, 7 Nisan 2013
ARSLAN ÖZCAN,KURT RAFET EMEK,MCKENNA STUART,KEÇECİ TUBA
Özcan Arslan Tam metin bildiri
SWOT analysis for safer ship navigation at 1915 Çanakkale Bridge
GMC'21: 4th Global Conference On Innovation in Marine Technology and the Future of Maritime Transportation, İSTANBUL/TÜRKİYE, 18 Kasım 2021
GÜLEN MUHAMMED FATİH, KADIOĞLU MUHSİN, ARSLAN ÖZCAN

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