ARAMA SONUÇLARI

Toplam 34 adet sonuçtan 20 tanesi görüntülenmektedir.

Assessing the Feasibility of Integrating Renewable Energy: Decision Tree Analysis for Parameter Evaluation and LSTM Forecasting for Solar and Wind Power Generation in a Campus Microgrid

IEEE Access, No. 11, Ekim 2023, s. 124690-124708, ISSN: 2169-3536

FADOUL FATHİ FARAH,A. HASSAN ABDOULAZİZ,ÇAĞLAR RAMAZAN

Ramazan Çağlar Özgün Makale Decision tree LSTM microgrids energy integration feasibility decision making

The comparison of ARIMA and LSTM in forecasting of long-term surface movements derived from PSINSAR

SPIE 2023 Conference, 20 Ağustos 2023

YAĞMUR AYDIN NUR, MUSAOĞLU NEBİYE

Nebiye Musaoğlu Tam metin bildiri

A high-accuracy ionospheric foF2 critical frequency forecast using long short-term memory LSTM

Environmental Data Science, Vol. 3, Ocak 2024, ISSN: .

YÜCEL MERİÇ,ÜSTÜNDAĞ BURAK BERK

Meriç Yücel Özgün Makale

A comparison of LSTM and GNN based session recommendation systems

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021

ÇAĞRI EMRE YILDIZ

Yusuf Yaslan Tez Yüksek Lisans Tamamlandı

Characterization and modeling of negative-biastemperature instability in 40 NM CMOS technologythrough long short-term memory (LSTM) networks

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023

FİKRET BAŞAR GENCER

Mustafa Berke Yelten Tez Yüksek Lisans Tamamlandı

Deep learning approaches for hailstorm detection and forecasting using CNN and LSTM algorithms: Comparative evaluation of radar products

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023

NAHİT ÇATMADIM

Mehmet Sinan Özeren Tez Yüksek Lisans Tamamlandı

Enhancing photovoltaic system performance through NARX-LSTM forecasting and neuro-controller based MPPT techniques

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024

OUBAH ISMAN OKIEH

Şahin Serhat Şeker Tez Doktora Tamamlandı

The effects of 2D-H wave directionality on LSTM deep learning predictions of the random 1D-H sea state

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025

EMİNE ERSİN

Cihan Bayındır Tez Yüksek Lisans Tamamlandı

LSTM-based prediction of PM2.5 and PM10 air pollution: A case study of İstanbul, Turkiye

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024

OMAR WISAM AHMED AL-QAYSI

Dursun Zafer Şeker Tez Yüksek Lisans Tamamlandı

A comparatıve analysıs of LSTM and XGBoost methods for day ahead electrıcıty prıce forecastıng

Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2020

CAHİT URAL KÜKNER

Ahmet Durmayaz Tez Yüksek Lisans Tamamlandı

A COMPARATIVE ANALYSIS USING TECHNICAL INDICATORS AND LSTM, BI-LSTM, GRU AND TRANSFORMER MODELS TO PREDICT STOCK PRICE CHANGE

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025

HÜSEYİN ELCUMAN

Mehmet Ali Ergün Tez Yüksek Lisans Devam Ediyor

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

Selecting Optimal Long Short-Term Memory (LSTM) Architectures for Online Estimation of Mean Arterial Pressure (MAP) in Patients Undergoing General Anesthesia

Applied Sciences, Vol. 14, Haziran 2024, ISSN: 2076-3417

BEN OTHMAN GHADA,COPOT DANA,YUMUK ERHAN,NECKEBROEK MARTINE,IONESCU CLARA

Erhan Yumuk Özgün Makale

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