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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
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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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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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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 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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Composing Frankensteins: Data-driven design assemblies through graph-based deep neural networks
107th ACSA Conference, Pittsburgh/AMERİKA BİRLEŞİK DEVLETLERİ, 28 Mart 2019
AS İMDAT, PAL SİDDARTH, BASU PRİTHWİSH
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
Lecture Notes in Networks and Systems, Vol. 643, Ocak 2023, s. 244-256, ISSN: 2367-3389
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
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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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Use Of Deep Neural Networks For Crop Yield Prediction: A Case Study Of Soybean Yield in Lauderdale County, Alabama, USA
2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 16 Temmuz 2019
TERLİKSİZ ANIL SUAT,ALTILAR DENİZ TURGAY
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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
DEMİR GÖZDENUR, KANAN ASLI, YEŞİLKAYNAK VAHİT BUĞRA, ÜNAL GÖZDE
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Tuning Hyperparameters of Machine Learning Algorithms and Deep Neural Networks Using Metaheuristics: A Bioinformatics Study on Biomedical and Biological Cases
Computational Biology and Chemistry, Vol. 97, Nisan 2022, ISSN: 1476-9271
NEMATZADEH MIANDOAB SAJJAD, KIANI FARZAD, TORKAMANIAN AFSHAR MAHSA, AYDIN NİZAMETTİN
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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), Wuhan/ÇİN HALK CUMHURİYETİ, 25 Temmuz 2023
ŞENTOP MEHMET SELAHADDİN, YÜCEL MERİÇ, ÜSTÜNDAĞ BURAK BERK
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