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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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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The investigation of different port fuel injection parameters of a small spark ignition engine
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Delayed fast neutron as an indicator of burn-up for nuclear fuel elements
Nuclear Engineering and Technology, Vol. 53, Ocak 2021, s. 3127-3132, ISSN: 1738-5733
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Monitoring of neomycin sulfate antibiotic in microbial fuel cells”,BIORESOURCE TECHNOLOGY, 2018
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Effects of advanced fuel management strategies on fuel burnup
Fen Bilimleri Enstitüsü, Hacettepe Üniversitesi, 1999
BARIŞ SARIKAYA
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Coated fuel particle integrity analysis
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Limits of variations on the structure and the fuel characteristics of sunflower seed shell through torrefaction
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Effects of combustion efficiency on a Dual cycle
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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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Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel
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Environmental and Economic Evaluation of Dual-Fuel Engine Investment of a Container Ship
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