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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
Intelligent ship inspection analytics: Ship deficiency data mining for port state control
OCEAN ENGINEERING, Vol. 278, Ocak 2023, s. 114232, ISSN: 0029-8018
DEMİRCİ SEYİD MAHMUD ESAD, ÇİÇEK KADİR
Analysing human error contribution to ship collision risk in congested waters under the evidential reasoning SPAR-H extended fault tree analysis
Ocean Engineering, Vol. 287, No. 115758, Kasım 2023, ISSN: 0029-8018
UFLAZ ESMA, AKYÜZ EMRE, ARSLAN ÖZCAN, AYDIN MUHAMMET, GARDONİ PAOLO
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
Cihad Delen Özgün Makale
A human reliability analysis for ship to ship LNG bunkering process under D-S evidence fusion HEART approach
Elsevier BV, Vol. 80, Aralık 2022, ISSN: 0950-4230
UFLAZ ESMA, SEZER ŞÜKRÜ İLKE, AKYÜZ EMRE, ARSLAN ÖZCAN, KURT RAFET EMEK
Esma Uflaz Özgün Makale
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
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
Evaluation of the powering extrapolation of a ship with a gate rudder system, including ageing and fouling effects
OCEAN ENGINEERING, Vol. 313, Ocak 2024, s. 10, ISSN: 0029-8018
KÖKSAL ÇAĞATAY SABRİ,ÇELİK CİHAD,ÖZSAYAN SELAHATTİN,KORKUT EMİN,ATLAR M
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
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
The Comparative Analysis of Alternative Refrigerants on Ship Refrigeration Systems: Performance, Environmental, and Economic Approach
Pomorstvo-Scientific Journal of Maritime Research, Vol. 37, No. 2, Ekim 2023, s. 240-254, ISSN: 1332-0718
DURMUŞOĞLU YALÇIN,KOÇAK GAZİ
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
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
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
Cengiz Deniz Tam metin bildiri
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
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
Emre Akyüz Özgün Makale decision making
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
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
Free and forced vibration analyses of ship structures using the finite element method
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, Vol. 18, No. 3, Eylül 2013, s. 324-338, ISSN: 0948-4280
YÜCEL ADİL, ARPACI MEHMET ALAİTTİN
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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