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Toplam 366 adet sonuçtan 20 tanesi görüntülenmektedir.

A neural networks approach to predict call center calls of an internet service provider

Journal of Intelligent and Fuzzy Systems, Aralık 2022, ISSN: 10641246

NAMLI DAĞ ÖZGE HÜSNİYE, YANIK ÖZBAY SEDA, NOURİ FARANAK, ŞENGÖR NESLİHAN SERAP, KOYUNCU YUSUF MERTKAN, UÇAR ÖMER BERK

Seda Yanık Özbay Özgün Makale

A Neural Networks Approach to Predict Call Center Calls of an Internet Service Provider

Journal of Intelligent & Fuzzy Systems, Vol. 42, No. 1, Aralık 2021, s. 503-515, ISSN: 1064-1246

NAMLI DAĞ ÖZGE HÜSNİYE, YANIK ÖZBAY SEDA, NOURİ FARANAK, ŞENGÖR NESLİHAN SERAP, KOYUNCU YUSUF MERTKAN, UÇAR ÖMER BERK

Seda Yanık Özbay Özgün Makale

Modeling Toothpaste Brand Choice An Empirical Comparison of Artificial Neural Networks and Multinomial Probit Model

International Journal of Computational Intelligence Systems, Vol. 3, No. 5, 2010, s. 674-687, ISSN: 1875-6891

KAYA TOLGA,AKTAŞ EMEL,TOPCU YUSUF İLKER,ÜLENGİN KEMAL BURÇ

Yusuf İlker Topcu Özgün Makale

CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC POINT CLOUD USING RECURRENT NEURAL NETWORKS

FRESENIUS ENVIRONMENTAL BULLETIN, Vol. 30, Nisan 2021, s. 4270-4275, ISSN: 1018-4619

ATİK MUHAMMED ENES, DURAN ZAİDE

Muhammed Enes Atik Özgün Makale

Lıght Rail Passenger Demand Forecasting by Artificial Neural Networks

39th International Conference on Computers and Industrial Engineering-ICC&IE, 6 Haziran 2009

ÇELEBİ DİLAY,BOLAT HÜR BERSAM,BAYRAKTAR DEMET

Hür Bersam Sidal Tam metin bildiri

Role of learning algorithm in neural network-based backcalculation of flexible pavements

JOURNAL OF COMPUTING IN CIVIL ENGINEERING, Vol. 20, No. 5, Eylül 2006, s. 370-373, ISSN: 0887-3801

GOKTEPE A. BURAK,AGAR EMİNE,LAV ABDULLAH HİLMİ

Abdullah Hilmi Lav Özgün Makale flexible pavementsnondestructive testsneural networksalgorithms

Classification of skin lesions using convolutional neural networks

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, Vol. 28, No. 2, Ocak 2022, s. 7, ISSN: 1300-7009

BİLGİNER ONUR, TUNGA BURCU, DEMİRER RÜŞTÜ MURAT

Burcu Tunga Özgün Makale Classifications of skin lesions Hilbert transform High dimensional model representation

Classification of Aerial Photogrammetric Point Cloud Using Recurrent Neural Networks

Fresenius Environmental Bulletin, Vol. 30, No. 04, Nisan 2021, s. 4270-4274, ISSN: 1018-4619

ATİK MUHAMMED ENES, DURAN ZAİDE

Zaide Duran Özgün Makale

Optimization of a Centrifugal Compressor Impeller Utilizing Genetic Algorithm Coupled with Artificial Neural Networks

EUCASS 2015 6th European Conference for Aeronautics and Space Sciences, Krakow/POLONYA, 29 Haziran 2015

BURAK ÖZKAHYA,TUNÇER ONUR

Onur Tunçer Özet Bildiri

Brain MRI artefact detection and correction using convolutional neural networks

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol. 199, Şubat 2021, s. 105909, ISSN: 0169-2607

ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale

Fine-tuning Monocular Depth-Estimator Artificial Neural Networks Trained on Synthetic RGB-D Data Sets for Real Scenes

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague/ÇEK CUMHURİYETİ, 29 Haziran 2020

ROGHANİ ERFAN, KOYUNCU EMRE

Emre Koyuncu Tam metin bildiri

Utilization of Artifical Neural Networks for the Prediction of Emission Levels in a Dilution Air Jet Forced Combustor

Energy Education Science and Technology Part A, Vol. 30, Ekim 2012, s. 591-602

TUNÇER ONUR

Onur Tunçer Özgün Makale yanmaemisyonlaryapay sinir ağları

Electricity Price Forecasting Using Recurrent Neural Networks

ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073

UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY

İlkay Öksüz Özgün Makale electricity price forecastingdeep learninggated recurrent unitslong short term memoryartificial intelligenceturkish day-ahead marketREGIME-SWITCHING MODELSTIME-SERIESMARKETARIMALOADS

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

Discussion of Generalized regression neural networks for evapotranspiration modelling

Hydrological Sciences Journal, Vol. 52, No. 4, Ağustos 2007, s. 825-831, ISSN: 0262-6667

AKSOY HAFZÜLLAH,GÜVEN AYTAÇ,AYTEK ALİ,YÜCE MEHMET İSHAK,ÜNAL NECATİ ERDEM

Necati Erdem Ünal Özgün Makale

Mean particle size prediction in rock blast fragmentation using neural networks

Engineering Geology, Vol. 114, Ağustos 2010, s. 298-311, ISSN: 00137952

PHSW KULATİLAKE,WU QIONG,HÜDAVERDİ TÜRKER,KUZU CENGİZ

Cengiz Kuzu Özgün Makale Blasting

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

Transfer learning for electricity price forecasting

SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677

GÜNDÜZ SALİH, UĞURLU UMUT, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Electricity price forecasting Transfer learning Market integration Artificial 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

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