VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications
ISPRS International Journal of Geo-Information, Vol. 11, No. 8, Ağustos 2022, ISSN: 2220-9964
KIZILKAYA SERDAR, ALGANCI UĞUR, SERTEL ELİF
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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, s. 109804, ISSN: 0029-8018
CEYLAN BULUT OZAN, AKYÜZ EMRE, ARSLAN ÖZCAN
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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
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Analyzing Influence of Ship Movements on Stereo Camera System Set up on Board Ship
Journal of the Japanese Institute of Marine Engineering, Vol. 47, No. 6, Ocak 2012, s. 888-895, ISSN: 1346-1427
KOÇAK GAZİ, YAMAMOTO SHİGEHİRO, HASHİMOTO TAKASHİ
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Underwater noise measurements of a free-running ship model
Ship Technology Research, Ağustos 2024, ISSN: 0937-7255
KINACI ÖMER KEMAL,DELEN CİHAD,BİTİRGEN RAHMAN,BAYEZİT AFŞİN BARAN,BAYEZİT İSMAİL,ÖZTÜRK SARIGÜL DENİZ,GÜNGÜDER BURAK
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Modelling of the propulsion plant of a large container ship by the partition of the cycle of the main diesel engine
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT, Vol. 234, No. 2, Ocak 2020, ISSN: 1475-0902
SÖĞÜT OĞUZ SALİM, KHARROUBİ KAMAL
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Underwater noise measurements of a free-running ship model
Ship Technology Research, Ağustos 2024, ISSN: 0937-7255
KINACI ÖMER KEMAL,DELEN CİHAD,BİTİRGEN RAHMAN,BAYEZİT AFŞİN BARAN,BAYEZİT İSMAİL,ÖZTÜRK SARIGÜL DENİZ,GÜNGÜDER BURAK
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Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approaches
Ocean Engineering, Vol. 258, Ağustos 2022, ISSN: 0029-8018
AY CENK, SEYHAN ALPER, BAL BEŞİKÇİ ELİF
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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
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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
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Prediction of human error probabilities in a critical marine engineering operation on-board chemical tanker ship: The case of ship bunkering
Safety Science, Vol. 110, Aralık 2018, s. 102-109, ISSN: 0925-7535
AKYÜZ EMRE,ÇELİK METİN,AKGÜN İLKER,ÇİÇEK KADİR
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A New Slender Body Theory For Shallow Water And Comparison With Experimental And Two Other Numerical Methods
4th MASHCON - International Conference on Ship Manoeuvring in Shallow and Confined Water with Special Focus on Ship Bottom Interaction, 23 Mayıs 2016
MAHMUT ALİDADİ,ÇALIŞAL MEHMET SANDER,GÖREN ÖMER,DANIŞMAN DEVRİM BÜLENT
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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
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Prediction of human error probabilities in a critical marine engineering operation on-board chemical tanker ship: The case of ship bunkering
Safety Science, Vol. 110, Aralık 2018, s. 102-109, ISSN: 0925-7535
AKYÜZ EMRE,ÇELİK METİN,AKGÜN İLKER,ÇİÇEK KADİR
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Energy Efficiency Analysis Of Pump Systems In A Ship Power Plant And A Case Study of a Container Ship
16th Annually General Assembly of International Associations of Maritime Universities (IAMU), Opatija/HIRVATİSTAN, 7 Ekim 2015, s. 57-62
DURMUŞOĞLU YALÇIN,KOÇAK GAZİ,DENİZ CENGİZ,ZİNCİR BURAK
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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
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Prediction of human error probabilities in a critical marine engineering operation on-board chemical tanker ship: The case of ship bunkering
Safety Science, Vol. 110, Aralık 2018, s. 102-109, ISSN: 0925-7535
AKYÜZ EMRE,ÇELİK METİN,AKGÜN İLKER,ÇİÇEK KADİR
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Ship Detection From Optical Satellite Images With Deep Learning
2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), No. null, 11 Haziran 2019, s. 479-484
KARTAL MESUT,DUMAN OSMAN
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Training needs analysis for the Turkish Ship-Dismantling Industry
International Conference on Ship Recycling, Malmö/İSVEÇ, 7 Nisan 2013, s. 189-199
ARSLAN ÖZCAN,KURT RAFET EMEK,MCKENNA STUART,KEÇECİ TUBA
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Iteratively weighted dynamic modeling of four degrees of freedom motion for marine surface vehicles for k-step ahead prediction
Ocean Engineering, Vol. 246, No. 110614, Şubat 2022, ISSN: 0029-8018
ZİHNİOĞLU ALPER,ERTOGAN MELEK
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