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Toplam 344 adet sonuçtan 20 tanesi görüntülenmektedir.

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

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

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

Channel Attention Networks for Robust MR Fingerprint Matching

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294

SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Dictionaries Computer architecture Image reconstruction Convolutional neural networks Convolution Testing Principal component analysis Channel attention deep learning MR fingerprinting reconstruction

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

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

The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company

ENERGIES, Vol. 11, No. 8, Ağustos 2018, ISSN: 1996-1073

UĞURLU UMUT,KAYA AYCAN,TAŞ OKTAY,ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale profit losselectricity price forecastingmixed integer linear programmingself-schedulinghydro-based generation companyARTIFICIAL NEURAL-NETWORKSUNIT COMMITMENTSPOT PRICESMARKETACCURACYMODELSPREDICTIONTURKEYARIMA

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

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

A convolutional neural networks oriented approach for voxel-based 3D object classification

2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey/TÜRKİYE, 2 Mayıs 2018

SIRMA RIDVAN,DİNAR BERKAN,ŞAHİN YUSUF HÜSEYİN,ÜNAL GÖZDE

Yusuf Hüseyin Şahin Tam metin bildiri

Application of neural networks in talent management

Electrical Information and Communication Technology (EICT), 2013 International Conference on, 13 Şubat 2014, s. 1-4

ZAİM ABDÜL HALİM

Abdül Halim Zaim Tam metin bildiri talent management

An Optimal Feature Parameter Set Based on Gated Recurrent Unit Recurrent Neural Networks for Speech Segment Detection

Applied Sciences-Basel, Vol. 10, No. 4, Şubat 2020, s. 1-23, ISSN: 2076-3417

BATUR ÖZLEM,AYDIN NİZAMETTİN

Nizamettin Aydın Özgün Makale

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

Nizamettin Aydın Özgün Makale

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

A Multifidelity Steady and Unsteady Aerodynamic Prediction Framework with Deep Neural Networks

2022 AIAA Aviation Forum, Chicago/AMERİKA BİRLEŞİK DEVLETLERİ, 27 Haziran 2022

TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE

Melike Nikbay Tam metin bildiri supersonicneural network

4 Degrees of Freedom Ship Motion Estimation Using Neural Networks for Calm Waters

TEAM 2020/21, 34th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, İstanbul/TÜRKİYE, 6 Aralık 2021, s. 100-105

ZİHNİOĞLU ALPER,ERTOGAN MELEK,ERTUĞRUL ŞENİZ

Melek Ertogan Tam metin bildiri Ship dynamic model identification Neural Network Ship motion prediction

Novel Approaches on Sovereign Credit Ratings

EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS, Vol. 11, No. 4, Ekim 2018, s. 1014-1026, ISSN: 1307-5543

ÖNAL NİSA ÖZGE,KARAÇUHA ERTUĞRUL

Nisa Özge Önal Tuğrul Özgün Makale Artificial neural networksAdaptive filtersNormalized least mean square algorithmSovereign credit ratingsStock market prediction

Determining of Credit Card Frauds: A Comparison of Artificial Neural Networks and Logistic Regression

37th International Conference on Computer and Industrial Engineering, İskenderiye/MISIR, 20 Ekim 2007, s. 44-50

KILINÇ MEHMET SERDAR,IŞIKLI ERKAN

Erkan Işıklı Tam metin bildiri

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

İmdat As Tam metin bildiri crowdsourcingartificial intelligencedeep learning

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