Identification of corona discharges based on wavelet scalogram images with deep convolutional neural networks
Electric Power Systems Research, Vol. 224, Kasım 2023, ISSN: 0378-7796
ÜÇKOL HALİL İBRAHİM, İLHAN SUAT
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Identification of corona discharges based on wavelet scalogram images with deep convolutional neural networks
Elsevier BV, Vol. 224, Kasım 2023, ISSN: 0378-7796
ÜÇKOL HALİL İBRAHİM, İLHAN SUAT
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Stock market direction prediction using deep neural networks
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
GÜNDÜZ HAKAN,YASLAN YUSUF,ÇATALTEPE ZEHRA
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Deep neural networks for robust time delay fault tolerant autonomous landing control system design under severe disturbances
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
MUSTAFA ÇAĞATAY ŞAHİN
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Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
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Semantic land cover and land use classification using deep convolutional neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BERK GÜNEY
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Classification of ten different motor imagery eeg signals by using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NURİ KORHAN
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Predicting software vulnerabilities and vulnerability inducing code changes using deep neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
SEFA EREN ŞAHİN
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OPTIMIZING DYNAMIC WINDOW APPROACH FOR AUTONOMOUS ROBOTS USING DEEP NEURAL NETWORKS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MERT ŞEKER
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Classification of pediatric snoring episodes using deep convolutional neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
OZAN FIRAT CİVANER
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Secure and coordinated beamforming in 5G and beyond systems using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
UTKU ÖZMAT
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Deep convolutional neural networks for image inpainting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
UĞUR DEMİR
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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol. 44, No. 12, Aralık 2022, s. 13, ISSN: 0162-8828
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA, SCHNABEL JULİA A., KİNG ANDREW P.
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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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Domain adaptation for ear recognition using deep convolutional neural networks
IET Biometrics, Vol. 7, No. 3, Mayıs 2018, s. 199-206, ISSN: 2047-4938
EYİOKUR FEVZİYE İREM,YAMAN DOĞUCAN,EKENEL HAZIM KEMAL
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, Aralık 2021, ISSN: 2147-8228
ABİLZADE LEYLA, KORHAN NURİ, DOKUR ZÜMRAY, ÖLMEZ TAMER
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A Multifidelity Steady and Unsteady Aerodynamic Prediction Framework with Deep Neural Networks
2022 AIAA Aviation Forum, Chicago/AMERİKA BİRLEŞİK DEVLETLERİ, 27 Haziran 2022
TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE
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Effects of objects and image quality on melanoma classification using deep neural networks
Biomedical Signal Processing and Control, Vol. 67, Ocak 2021, ISSN: 1746-8094
AKKOCA GAZİOĞLU BİLGE SÜHEYLA, KAMAŞAK MUSTAFA ERSEL
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Classification of pediatric snoring episodes using deep convolutional neural networks
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
CİVANER OZAN FIRAT,KAMAŞAK MUSTAFA ERSEL
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Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29
ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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