Machine learning approach to ship fuel consumption: A case of container vessel
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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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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, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
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Deep Learning-Aided Spatial Multiplexing with Index Modulation
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Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods
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Meta continual learning on graphs with experience replay
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Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods
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Audio Genre Classification with Semi-Supervised Feature Ensemble Learning
2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009
YASLAN YUSUF,ÇATALTEPE ZEHRA
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Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches
Springer Science and Business Media LLC, Vol. 34, Ağustos 2022, ISSN: 0941-0643
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A case study in time series classification using machine learning and deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
BARIŞ KÜÇÜK
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Developing a decision-support system using machine learning and deep learning models for daily demand forecasting: A case study
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
RANA EZGİ KÖSE
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Short-term forecasting of wind power production using machine learning and deep learning methods
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
FEYRUZ AKSOY
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Benchmark of Machine Learning Methods for Classification of a SENTINEL 2 Image
XXIII ISPRS Congress 2016, 9 Temmuz 2016
PİROTTİ FRANCESCO,SUNAR AYŞE FİLİZ,PİRAGNOLO MARCO
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DETECTION OF SHALLOW WATER AREA WITH MACHINE LEARNING ALGORITHMS
ISPRS Geospatial Week, 10 Haziran 2019
YAGMUR NUR,MUSAOĞLU NEBİYE,TAŞKIN KAYA GÜLŞEN
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Prediction of cryptocurrency returns using machine learning
Springer Science and Business Media LLC, Vol. 297, Nisan 2020, ISSN: 0254-5330
GÖNCÜ AHMET
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APPLICATION OF MACHINE LEARNING METHODS FOR PREDICTION OF SEAFARER SAFETY PERCEPTION
International Journal of Maritime Engineering, Vol. 164, Şubat 2023, ISSN: 1479-8751
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APPLICATION OF MACHINE LEARNING METHODS FOR PREDICTION OF SEAFARER SAFETY PERCEPTION
International Journal of Maritime Engineering, Vol. 164, Şubat 2023, ISSN: 1479-8751
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Machine Learning and Seismic Structural Attributes Hybrid Approach to Map Complex Fault System
Second EAGE Subsurface Intelligence Workshop, 13 Ekim 2022
KHAN MUHAMMAD, BASHİR YASİR, DOSSARY SALEH
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A data-driven approach for the prediction of coal seam gas content using machine learning techniques
Applied Energy, Vol. 347, Ekim 2023, ISSN: 0306-2619
AKDAŞ BUĞRA, FİŞNE ABDULLAH
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