Deep Learning-Based Road Extraction From Historical Maps
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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
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A Deep Hybrid Model for Recommendation Systems
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Improving Classification Performance of Fully Connected Layers by Fuzzy Clustering in Transformed Feature Space
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Domain adaptation for ear recognition using deep convolutional neural networks
IET Biometrics, Vol. 7, No. 3, Mayıs 2018, s. 199-206, ISSN: 2047-4938
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Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation
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GENÇ ANIL,EKENEL HAZIM KEMAL
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Face deidentification with generative deep neural networks
IET Signal Processing, Vol. 11, No. 9, Aralık 2017, s. 1046-1054, ISSN: 1751-9675
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Large-scale offline signature recognition via deep neural networks and feature embedding
Neurocomputing, Vol. 359, Eylül 2019, s. 1-14, ISSN: 0925-2312
ÇALIK NURULLAH,KURBAN ONUR CAN,YILMAZ ALİ RIZA,YILDIRIM TÜLAY,DURAK ATA LÜTFİYE
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Turkish lira banknotes classification using deep convolutional neural networks
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
BAYKAL GÜLÇİN,DEMİR UĞUR,SHYTI IRA,ÜNAL GÖZDE
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Detecting visual design principles in art and architecture through deep convolutional neural networks
Automation in Construction, Vol. 130, No. 103826, Ekim 2021, ISSN: 0926-5805
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Turkish lira banknotes classification using deep convolutional neural networks
2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir/TÜRKİYE, 2 Mayıs 2018
BAYKAL GÜLÇİN,DEMİR UĞUR,SHYTİ İRA,ÜNAL GÖZDE
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Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers Through Deep Neural Networks
2021 IEEE MTT-S International Microwave Symposium (IMS), Georgia/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 1, 7 Haziran 2021, s. 233-236
KOUHALVANDİ LİDA, CEYLAN OSMAN, ÖZOĞUZ İSMAİL SERDAR
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A Survey in Deep Convolutional Neural Networks for Diagnosis of Dieases
BdKCSE’xx2017 International Conference on7-8 December 2017, Sofia, Bulgaria Big Data, Knowledge and Control Systems Engineering, 7 Aralık 2017
NOĞAY HIDIR SELÇUK,AKINCI TAHİR ÇETİN,ÖNAL ŞÜKRAN EMEL
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Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks
International Journal of Computational Intelligence Systems, Vol. 13, No. 1, Ocak 2020, s. 12-23, ISSN: 1875-6891
AL-BAYATİ JALAL SADOON HAMEED, ÜSTÜNDAĞ BURAK BERK
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Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems
2023 11th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2023, Wuhan/ÇİN HALK CUMHURİYETİ, 25 Temmuz 2023
ŞENTOP MEHMET SELAHADDİN, YÜCEL MERİÇ, ÜSTÜNDAĞ BURAK BERK
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Hybrid intelligent technology for plant health using the fusionof evolutionary optimization and deep neural networks
EXPERT SYSTEMS, Vol. 40, No. 4, Mayıs 2023, s. 1-16, ISSN: 0266-4720
AL-BAYATİ JALAL SADOON HAMEED, ÜSTÜNDAĞ BURAK BERK
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Hybrid intelligent technology for plant health using the fusion of evolutionary optimization and deep neural networks
Expert Systems, Haziran 2021, ISSN: 0266-4720
AL-BAYATİ JALAL SADOON HAMEED, ÜSTÜNDAĞ BURAK BERK
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EVOLUTIONARY FEATURE OPTIMIZATION FOR PLANT LEAF DISEASE
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Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
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