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Toplam 30 adet sonuçtan 20 tanesi görüntülenmektedir.

Performance and Computational Efficiency Comparison of LSTM and GRU Networks for Sign Language Recognition

47th LISBON International Conference on “Science, Engineering, Technology & Healthcare” (LSETH-23), Lizbon/PORTEKİZ, 6 Şubat 2023

ÇETİNKAYA İBRAHİM, ÖLMEZ TAMER

Tamer Ölmez Tam metin bildiri

Deep Assessment Methodology Using Fractional Calculus on Mathematical Modeling and Prediction of Gross Domestic Product per Capita of Countries

MATHEMATICS, Vol. 8, No. 4, Ocak 2020, ISSN: 2227-7390

KARAÇUHA KAMİL,ÖNAL TUĞRUL NİSA ÖZGE,KARAÇUHA ERTUĞRUL

Ertuğrul Karaçuha Özgün Makale deep assessment fractional calculus least squares modeling GDP per capita prediction LSTM

Derin Öğrenme Teknikleriyle ile Online Satış Tahminleri Yapılması: Fast Food Sektörü Uygulaması

19. Uluslararası Ekonometri, Yöneylem Araştırması ve İstatistik Sempozyumu, Antalya/TÜRKİYE, 17 Ekim 2018

SİVRİ MAHMUT SAMİ

Mahmut Sami Sivri Özet Bildiri Makine öğrenmesiZaman serisiTalep tahminiFast food sektörüLSTMKantil regresyonRassal ormanlarARIMA

Deep learning frameworks to learn prediction and simulation focused control system models

Springer Science and Business Media LLC, Vol. 52, No. 1, Ocak 2022, ISSN: 0924-669X

TUNA TURCAN, BEKE AYKUT, KUMBASAR TUFAN

Tufan Kumbasar Özgün Makale Nonlinear system identification Time series prediction Deep learning Autoencoders LSTM

Deep Assessment Methodology Using Fractional Calculus on Mathematical Modeling and Prediction of Gross Domestic Product per Capita of Countries

Mathematics, Vol. 8, No. 4, Nisan 2020, s. 1-18, ISSN: 2227-7390

KARAÇUHA ERTUĞRUL, TABATADZE VASIL, KARAÇUHA KAMİL, ÖNAL TUĞRUL NİSA ÖZGE, ERGÜN ESRA

Kamil Karaçuha Özgün Makale deep assessment fractional calculus least squares modeling GDP per capita prediction LSTM

Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce

Acta Infologica, Vol. 7, No. 1, Temmuz 2023, s. 59-70, ISSN: 2602-3563

ECEVİT ALP, ÖZTÜRK İREM, DAĞ MUSTAFA, ÖZCAN TUNCAY

Tuncay Özcan Özgün Makale

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415

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

İlkay Öksüz Özgün Makale Cardiac MR motion artefactsImage quality assessmentArtifactConvolutional neural networksLSTMNEURAL-NETWORKSQUALITY ASSESSMENT

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks

2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), No. null, 8 Nisan 2019, s. 1537-1540

ÖKSÜZ İLKAY,CRUZ GASTAO,CLOUGH JAMES R.,BUSTİN AURELİEN,FUİN NİCCOLO,BOTNAR RENE,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Magnetic resonance fingerprintingRecurrent Neural NetworksLSTMGRUParameter mapping

TEMİZ KUMLARDA DİNAMİK YÜKLEME SONUCU AŞIRI BOŞLUK SUYU BASINCI ORANI DEĞİŞİMİNİN LSTM SİNİR AĞI İLE TAHMİN EDİLMESİ

9th International Geotechnical Symposium, İstanbul/TÜRKİYE, 22 Kasım 2023

BİRİNCİ ÖMER TUĞŞAD, ÜLKER MEHMET BARIŞ CAN, TAŞKIN KAYA GÜLŞEN

Mehmet Barış Can Ülker Tam metin bildiri

Machine learning insights into PM2.5 changes during COVID‐19 lockdown: LSTM and RF analysis in Mashhad

Environmental Monitoring and Assessment, Vol. 196, No. 453, Nisan 2024, s. 1-22, ISSN: 0167-6369

MOEZZİ SEYED MOHAMMAD MAHDİ,MOHAMMADİ MİTRA,MOHAMMADİ MANDANA,SALOĞLU DERTLİ DİDEM,SHEİKHOLESLAMİ RAZİ

Didem Saloğlu Dertli Özgün Makale

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