Phenology recognition using deep learning: DeepPheno
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YALÇIN HÜLYA
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Deep learning based autonomous direction estimation
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
YALÇIN HÜLYA,CILASUN HUSREV
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Sparse Progressive Neural Networks for Continual Learning
International Conference on Computational Collective Intelligence, Rodos/YUNANİSTAN, 29 Eylül 2021
ERGÜN ESRA, TÖREYİN BEHÇET UĞUR
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Continual Learning with Sparse Progressive Neural Networks
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020
ERGÜN ESRA, TÖREYİN BEHÇET UĞUR
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Q-Learning Driven Routing for Aeronautical Ad-Hoc Networks
Elsevier Pervasive and Mobile Computing, Vol. 87, Aralık 2022, ISSN: 1574-1192
BİLEN TUĞÇE, CANBERK BERK
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Learning-Vector-Quantization-Based Topology Sustainability for Clustered-AANETs
IEEE Network, Vol. 35, No. 4, Temmuz 2021, ISSN: 0890-8044
BİLEN TUĞÇE, CANBERK BERK
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Ship electrical power estimation with machine learning
9th International Conference on Advanced Technologies (ICAT’xx20), İstanbul/TÜRKİYE, 10 Ağustos 2020
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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Ship Fuel Consumption Prediction with Machine Learning
4th International Mediterranean Science and Engineering Congress (IMSEC2019), ANTALYA/TÜRKİYE, 24 Nisan 2019
UYANIK TAYFUN,ARSLANOĞLU YASİN,KALENDERLİ ÖZCAN
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Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
Applied Ocean Research, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
PeerJ Computer Science, Vol. 10, Kasım 2024, ISSN: 2376-5992
TOPAL AHMET,TUNGA BURCU,TIRKOLAEE ERFAN BABAEE
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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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Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic
IOS Press, Vol. 14, Eylül 2022, ISSN: 1876-1364
MENGÜÇ KENAN, AYDIN NEZİR
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Learning Station Design Guide
İstanbul/TÜRKİYE, 2024, İTÜ Yayınevi
ACAR EMRAH,AHMETOLAN SEMRA,ÇALIMLI AKGÜN MERVE,GÖRGÜL EMİNE
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Various optimized machine learning techniques to predict agricultural commodity prices
Neural Computing and Applications, Vol. 36, Nisan 2024, ISSN: 09410643
SARI MURAT,DURAN SERBAY,GÜLOĞLU BÜLENT,KUTLU HÜSEYİN,ATİK ZEHRA
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Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
Applied Ocean Research, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302","1754-212X
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Platform Urbanism: How do digital platforms read the city and intervene in urban space? Learning Station Design Guide
ISTANBUL/TÜRKİYE, 2024, s. 58-64, ITU Press
EREN FATİH
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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics (IJBAN), Ocak 2022, ISSN: 2334-4547
ATAK ÜSTÜN, KAYA TOLGA, ARSLANOĞLU YASİN
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
Applied Ocean Research, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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