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Toplam 41 adet sonuçtan 20 tanesi görüntülenmektedir.

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Özel Aralık Girişi

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
Yusuf Yaslan Tam metin bildiri
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
Nazım Kemal Üre Tez Yüksek Lisans Tamamlandı
Predicting software vulnerabilities and vulnerability inducing code changes using deep neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
SEFA EREN ŞAHİN
Ayşe Tosun Kühn Tez Yüksek Lisans Tamamlandı
Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
Tamer Ölmez Tez Yüksek Lisans Tamamlandı
Classification of pediatric snoring episodes using deep convolutional neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
OZAN FIRAT CİVANER
Mustafa Ersel Kamaşak Tez Yüksek Lisans Tamamlandı
Deep convolutional neural networks for image inpainting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
UĞUR DEMİR
Gözde Ünal Tez Yüksek Lisans Tamamlandı
Semantic land cover and land use classification using deep convolutional neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BERK GÜNEY
Elif Sertel Tez Yüksek Lisans Tamamlandı
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
KARTAL MESUT,DUMAN OSMAN
A Deep Hybrid Model for Recommendation Systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11946, 19 Kasım 2019, s. 321, ISSN: 16113349 03029743
ÇAKIR MUHAMMET,ÖĞÜDÜCÜ ŞULE,TUGAY RESUL
Improving Classification Performance of Fully Connected Layers by Fuzzy Clustering in Transformed Feature Space
SYMMETRY-BASEL, Vol. 14, No. 4, Mart 2022, s. 1-14, ISSN: 2073-8994
KALAYCI TOLGA AHMET, ASAN UMUT
Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation
MULTIMEDIA TOOLS AND APPLICATIONS, Vol. 78, No. 5, Mart 2019, s. 5843-5861, ISSN: 1380-7501
GENÇ ANIL,EKENEL HAZIM KEMAL
Hazım Kemal Ekenel Özgün Makale
Face deidentification with generative deep neural networks
IET Signal Processing, Vol. 11, No. 9, Aralık 2017, s. 1046-1054, ISSN: 1751-9675
MEDEN BLAZ,MALLI REFİK CAN,FABİJAN SEBASTJAN,EKENEL HAZIM KEMAL,ŠTRUC VİTOMİR,PEER PETER
Hazım Kemal Ekenel Özgün Makale
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
Hazım Kemal Ekenel Özgün Makale
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
Lütfiye Durak Ata Özgün Makale
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
Gözde Ünal Tam metin bildiri
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
Gözde Ünal Özgün Makale
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
Gözde Ünal Tam metin bildiri
ESTIMATION OF HEAD NECK CANCER STAGE BY USING DEEP CONVOLUTIONAL NEURAL NETWORKS
Industrial Technologies, Vol. 5, No. 1, Haziran 2018, s. 13-19, ISSN: 1314-9911
NOĞAY HIDIR SELÇUK,AKINCI TAHİR ÇETİN,ERDEMİR GÖKHAN
Tahir Çetin Akıncı Özgün Makale
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
Tahir Çetin Akıncı Tam metin bildiri
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
İsmail Serdar Özoğuz Tam metin bildiri

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930