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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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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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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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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CHARACTER-LEVEL DILATED DEEP NEURAL NETWORKS FOR WEB ATTACK DETECTION
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NAZANIN MOARREF
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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 ten different motor imagery eeg signals by using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NURİ KORHAN
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Advanced techniques and comprehensive analysis in speech emotion recognition using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
AHMET KEMAL YETKİN
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Evolutionary feature optimization for plant leaf disease detection by deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
JALAL SADOON HAMEED AL BAYATI
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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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Semantic land cover and land use classification using deep convolutional neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BERK GÜNEY
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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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Classification of pediatric snoring episodes using deep convolutional neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
OZAN FIRAT CİVANER
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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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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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Deep Learning-Based Road Extraction From Historical Maps
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, Vol. 19, Ocak 2022, s. 5, ISSN: 1545-598X
AVCI CENGİZ, SERTEL ELİF, KABADAYI MUSTAFA ERDEM
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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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Channel Attention Networks for Robust MR Fingerprint Matching
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294
SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY
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Wide Area Measurement Based Online Monitoring and Event Detection Using Convolutional Neural Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 223
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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