ARAMA SONUÇLARI

Toplam 12 adet sonuçtan 12 tanesi görüntülenmektedir.

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

Tayfun Uyanık Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption

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

Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption

Analyzing the dual-loop organic rankine cycle for waste heat recovery of container vessel

Applied Thermal Engineering, Vol. 199, Ocak 2021, ISSN: 1359-4311

GÜL ÇIVGIN MERVE, DENİZ CENGİZ

Cengiz Deniz Özgün Makale

Relationship Between the Amount of Container Cargo Handled inTurkey with The Number of Turkish-Flagged Container Vessel

III. Global Conference on Innovation in Marine Technologyand the Future of Maritime Transportation, İzmir/TÜRKİYE, 18 Nisan 2019, s. 371-382

PEHLİVAN DAVUT,YÜKSEL GİZEM

Gizem Kayişoğlu Tam metin bildiri

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

Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

Mathematics, Vol. 10, No. 22, Kasım 2022, ISSN: 2227-7390

UYANIK TAYFUN, YALMAN YUNUS, KALENDERLİ ÖZCAN, ARSLANOĞLU YASİN, TERRİCHE YACİNE TERRİCHE, SU CHUN-LİEN, GUERRERO JOSEP M.

Yasin Arslanoğlu Özgün Makale fuel consumption; energy efficiency; machine learning; deep neural network; power prediction

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

MATHEMATICS, Vol. 10, Kasım 2022, ISSN: 2227-7390

UYANIK TAYFUN, YALMAN YUNUS, KALENDERLİ ÖZCAN, ARSLANOĞLU YASİN, TERRICHE YACINE, SU CHUN-LİEN, GUERRERO JOSEP M.

Yasin Arslanoğlu Özgün Makale ENERJİMÜHENDİSLİK

Cost-benefit analysis of emission reduction techniques: a case for container vessel

Journal of Marine Engineering & Technology, Şubat 2024, ISSN: 2046-4177

EJDER EMİR, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN

Yasin Arslanoğlu Özgün Makale Ammonia LNGEmission reductionScrubberSCRCost-benefit analysis

Cost-benefit analysis of emission reduction techniques: a case for container vessel

Journal of Marine Engineering & Technology, Şubat 2024, ISSN: 2046-4177

EJDER EMİR, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN

Çağlar Karatuğ Özgün Makale Ammonia LNGEmission reductionScrubberSCRCost-benefit analysis

Cost-benefit analysis of emission reduction techniques: a case for container vessel

Journal of Marine Engineering & Technology, Şubat 2024, s. 1-11, ISSN: 2046-4177

EJDER EMİR, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN

Yasin Arslanoğlu Özgün Makale

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

MATHEMATICS, Vol. 10, Kasım 2022, ISSN: 2227-7390

UYANIK TAYFUN, YALMAN YUNUS, KALENDERLİ ÖZCAN, ARSLANOĞLU YASİN, TERRICHE YACINE, SU CHUN-LİEN, GUERRERO JOSEP M.

Tayfun Uyanık Özgün Makale ENERJİMÜHENDİSLİK

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

Çağlar Karatuğ Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

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