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Toplam 366 adet sonuçtan 20 tanesi görüntülenmektedir.

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Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 8 Eylül 2019
TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ
Hakan Ali Çırpan Tam metin bildiri
Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
Mürvet Kırcı Tam metin bildiri
Deep Learning Techniques for Improving Estimations of Key Parameters for Efficient Flight Planning
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA/AMERİKA BİRLEŞİK DEVLETLERİ, 8 Eylül 2019, s. 1-8, ISSN: Electronic ISSN: 2155-7209, Print on Demand(PoD) ISSN: 2155-7195
UZUN MEVLÜT, DEMİREZEN MUSTAFA UMUT, KOYUNCU EMRE, İNALHAN GÖKHAN, LOPEZ JAVİER, VİLAPLANA MİGUEL
Emre Koyuncu Tam metin bildiri
Signature recognition application based on deep learning
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
ÇALIK NURULLAH,KURBAN ONUR CAN,YILMAZ ALİ RIZA,DURAK ATA LÜTFİYE,YILDIRIM TÜLAY
Lütfiye Durak Ata Tam metin bildiri
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
IEEE Transactions on Pattern Analysis and Machine Intelligence, Eylül 2021, ISSN: 1939-3539
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA A., SCHNABEL JULİA A., KİNG ANDREW P.
İlkay Öksüz Özgün Makale
Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey/TÜRKİYE, 3 Ekim 2019
AYANZADEH AYDIN,YAĞAR HÜSEYİN ONUR,ÖZUYSAL ÖZDEN YALÇIN,OKVUR DEVRİM PESEN,TÖREYİN BEHÇET UĞUR,ÜNAY DEVRİM,ÖNAL SEVGİ
Behçet Uğur Töreyin Tam metin bildiri
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
Behçet Uğur Töreyin Tam metin bildiri
A Deep Learning Approach to Fault Detection and Classification in Datacenters
6. Ulusal Yüksek Başarımlı Hesaplama Konferansı - BAŞARIM 2020, 8 Ekim 2020
WİYSOBUNRİ BELTUS NKWAWİR, ERDEN HAMZA SALİH, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇİMEN YETİŞ SİBEL, ÇAPAR ABDULKERİM, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates
JOURNAL OF HYDROINFORMATICS, Vol. 22, No. 6, Ocak 2020, s. 1603-1619, ISSN: 1464-7141
GHORBANI MOHAMMAD ALI, SALMASİ FARZİN, SAGGİ MANDEEP KAUR, BHATİA AMANDEEP SİNGH, KAHYA ERCAN, NOROUZİ REZA
Ercan Kahya Özgün Makale
A Survey on Malware Detection with Deep Learning
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 34, 4 Kasım 2020, s. 1-6
ŞAHİN MUHAMMET, BAHTİYAR ŞERİF
A deep learning method for fraud detection in financial systems
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks - WiSec ’xx19, Miami, Florida/AMERİKA BİRLEŞİK DEVLETLERİ, 15 Mayıs 2019, s. 298-299
ÖĞREK MAHMUT,ÖĞREK EYÜP,BAHTİYAR ŞERİF
Şerif Bahtiyar Tam metin bildiri
Sales Prediction with the Deep Learning Technique: A Case Study of Fast Food Sector
19th INTERNATIONAL SYMPOSIUM ON ECONOMETRICS, OPERATIONS RESEARCH AND STATISTICS, 17 Ekim 2018
ÖNER MAHİR,ÜSTÜNDAĞ ALP,GÜLOĞLU BÜLENT,GÜVEN MURAT
Bülent Güloğlu Tam metin bildiri
Vehicle Detection with Different Deep Learning Methods from Video
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 234-238
ÇEPNİ SÜMEYYE,ATİK MUHAMMED ENES,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Usage of Deep Learning for Image Segmentation from High Resolution Images,
Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği X. Teknik Sempozyumu, Aksaray/TÜRKİYE, 25 Nisan 2019, s. 86-89
ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER,BAYRAM BÜLENT,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Evaluation of Deep Learning Algorithms for 3D Semantic Segmentation in Outdoor Scenes
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 381-384
ATİK MUHAMMED ENES,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Cancers, Vol. 13, No. 11, Haziran 2021, s. 1-13, ISSN: 2072-6694
TANRIVER GİZEM, TEKKESİN MERVA SOLUK, ERGEN ONUR
Onur Ergen Özgün Makale
Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors
Diagnostic and Interventional Radiology, Vol. 26, No. 1, Ocak 2020, s. 11-21, ISSN: -
KAVUR ALİ EMRE,GEZER NACİYE SİNEM,BARIŞ MUSTAFA MAHMUT,ŞAHİN YUSUF HÜSEYİN,ÖZKAN SAVAŞ,BAYDAR BORA,YÜKSEL ULAŞ,KILIKÇIER ÇAĞLAR,OLUT ŞAHİN,AKAR GÖZDE BOZDAĞI,ÜNAL GÖZDE,DİCLE OĞUZ,SELVER MUSTAFA ALPER
Gözde Ünal Özgün Makale
Evaluation of Deep Learning Algorithms for 3D Semantic Segmentation in Outdoor Scenes
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 381-384
ATİK MUHAMMED ENES,DURAN ZAİDE
Muhammed Enes Atik Tam metin bildiri

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