ARAMA SONUÇLARI

Toplam 73 adet sonuçtan 20 tanesi görüntülenmektedir.

Solution of Markov Reward Games Using Convolutional Neural Networks

International Conference on Applied Analysis and Mathematical Modelling, İstanbul/TÜRKİYE, 19 Temmuz 2024, s. 202

ÖZKAYA MURAT,İZGİ BURHANEDDİN

DETECTION AND CLASSIFICATION OF FABRIC DEFECTS WITH AN INNOVATIVE MODEL AND PERSPECTIVE

International conference Textile Science and Economy, Zrenjanin/SIRBİSTAN, 25 Ekim 2024, s. 149-155

BİRSEN SİNEM,SARIÇAM CANAN

Sinem Birsen Tam metin bildiri Fabric Defect Detection Fabric Defect Classification Deep Learning Convolutional Neural Networks (CNNs)

KUMAŞ HATALARININ DERİN ÖĞRENME YÖNTEMLERİYLE BELİRLENMESİ ÜZERİNE BİR İNCELEME

Ulusal Çukurova Tekstil Kongresi, Adana/TÜRKİYE, 26 Eylül 2024

BİRSEN SİNEM,SARIÇAM CANAN

Sinem Birsen Tam metin bildiri Fabric Defect Detection Fabric Defect Classification Deep Learning Convolutional Neural Networks

Forecasting Energy Consumption in Smart Grids Using Convolutional Neural Networks

INTERNATIONAL GRADUATE RESEARCH SYMPOSIUM - IGRS’23At: Istanbul, Turkey, 2023, İstanbul/TÜRKİYE, No. 2, 16 Aralık 2024, s. 205-205

FADOUL FATHİ FARAH,ÇAĞLAR RAMAZAN

Ramazan Çağlar Özet Bildiri Derin ÖğrenmeOptimizaasyonSürdürülebilirlik

Classification of brain strokes using divergence-based convolutional neural networks

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, Vol. 93, No. 106193, Ocak 2024, s. 1-10, ISSN: 1746-8094

POLAT ÖZLEM,DOKUR ZÜMRAY,ÖLMEZ TAMER

Zümray Ölmez Özgün Makale

Detecting visual design principles in art and architecture through deep convolutional neural networks

Automation in Construction, Vol. 130, Ekim 2021, ISSN: 0926-5805

DEMİR GÖZDENUR,KANAN ASLI,YEŞİLKAYNAK VAHİT BUĞRA,ÜNAL GÖZDE

Aslı Kanan Özgün Makale

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol. 27, No. 4, Ocak 2023, s. 11, ISSN: 2168-2194

ÇALIK NURULLAH, ALBAYRAK ABDÜLKADİR, AKHAN ASLI, TÜRKMEN İLKNUR, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, BİLGİN GÖKHAN, MÜEZZİNOĞLU BAHAR, DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Özgün Makale Lesions Image segmentation Histograms Feature extraction Convolutional neural networks Pathology Classification algorithms Cervical lesions cervix hemotoxylen and eosin local histogram features cell morphometric features Kullback-Leibler divergence

Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data

American Institute of Aeronautics and Astronautics (AIAA) Journal of Aerospace Information Systems, Vol. 20, No. 5, Mayıs 2023, ISSN: 1940-3151

TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE

Melike Nikbay Özgün Makale

Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks

2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019

KORHAN NURİ,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER

Tamer Ölmez Tam metin bildiri

Single-frame super resolution of remote-sensing images by convolutional neural networks

International Journal of Remote Sensing, Vol. 39, No. 8, Ocak 2018, s. 2463-2479, ISSN: 0143-1161

TUNA ÇAĞLAYAN,ÜNAL GÖZDE,SERTEL ELİF

Gözde Ünal Özgün Makale

Metaphase finding with deep convolutional neural networks

Biomedical Signal Processing and Control, Vol. 52, Temmuz 2019, s. 353-361, ISSN: 1746-8094

MOAZZEN YASER,ÇAPAR ABDULKERİM,ALBAYRAK ABDÜLKADİR,ÇALIK NURULLAH,TÖREYİN BEHÇET UĞUR

Behçet Uğur Töreyin Özgün Makale Sayısal İşaret İşlemeGörüntü İşleme

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

Single-frame super resolution of remote-sensing images by convolutional neural networks

International Journal of Remote Sensing, Vol. 39, No. 8, Ocak 2018, s. 2463-2479, ISSN: 0143-1161

TUNA ÇAĞLAYAN,ÜNAL GÖZDE,SERTEL ELİF

Elif Sertel Özgün Makale

Metaphase finding with deep convolutional neural networks

Biomedical Signal Processing and Control, Vol. 52, Temmuz 2019, s. 353-361, ISSN: 1746-8094

MOAZZEN YASER,ÇAPAR ABDULKERİM,ALBAYRAK ABDÜLKADİR,ÇALIK NURULLAH,TÖREYİN BEHÇET UĞUR

Abdulkerim Çapar Özgün Makale Sayısal İşaret İşlemeGörüntü İşleme

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage quality assessmentMotion artefactsUK BiobankConvolutional Neural Networks

AUTOMATIC LEFT VENTRICULAR OUTFLOW TRACT CLASSIFICATION FOR ACCURATE CARDIAC MR PLANNING

2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), No. null, 4 Nisan 2018, s. 462-465

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,SİNCLAİR MATTHEW,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage Quality AssessmentUK BiobankLVOTConvolutional Neural Networks

Left-Ventricle Quantification Using Residual U-Net

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2018, Vol. 11395, 16 Eylül 2018, s. 371, ISSN: 16113349 03029743

KERFOOT ERİC,CLOUGH JAMES R.,ÖKSÜZ İLKAY,LEE JACK,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Convolutional neural networksCardiac quantificationCardiac MR

Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, Vol. 11767, 13 Ekim 2019, s. 695, ISSN: 16113349 03029743

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri UK BiobankMotion artefactsImage reconstructionConvolutional neural networksCardiac MR

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.

İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS

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

Mustafa Ersel Kamaşak Tam metin bildiri

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