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
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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
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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
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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
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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
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A comparison of LSTM and GNN based session recommendation systems
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
ÇAĞRI EMRE YILDIZ
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A comparatıve analysıs of LSTM and XGBoost methods for day ahead electrıcıty prıce forecastıng
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2020
CAHİT URAL KÜKNER
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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
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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
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Enhancing photovoltaic system performance through NARX-LSTM forecasting and neuro-controller based MPPT techniques
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
OUBAH ISMAN OKIEH
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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
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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
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TEMİZ KUMLARDA DİNAMİK YÜKLEME SONUCU AŞIRI BOŞLUK SUYU BASINCI ORANI DEĞİŞİMİNİN LSTM SİNİR AĞI İLE TAHMİN EDİLMESİ
9. Uluslararası Geoteknik Sempozyumu, 22 Kasım 2023
BİRİNCİ ÖMER TUĞŞAD, ÜLKER MEHMET BARIŞ CAN, TAŞKIN KAYA GÜLŞEN
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The Predictability of the 30 October 2020 İzmir-Samos Tsunami Hydrodynamics and Enhancement of Its Early Warning Time by LSTM Deep Learning Network
WATER, Vol. 15, No. 4195, Ocak 2023, ISSN: 2073-4441
ALAN ALİ RIZA, BAYINDIR CİHAN, ÖZAYDIN FATİH, ALTINTAŞ AZMİ ALİ
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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
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The Prediction of Pier Dynamics Using LSTM Deep Learning Network-based SAP2000 Analysis
3rd International Conference on Applied Mathematics in Engineering (ICAME 2024), Balıkesir/TÜRKİYE, 26 Haziran 2024, s. 201
ÇAKMAK RABİA MERVE,BAYINDIR CİHAN,ERBAY ABDULLAH BURAK
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A high-accuracy ionospheric foF2 critical frequency forecast using long short-term memory LSTM
Environmental Data Science, Vol. 3, Nisan 2024, s. 1-22, ISSN: 2634-4602
DENİSENKO-FLOYD ALEXANDRA,YÜCEL MERİÇ,ÜSTÜNDAĞ BURAK BERK
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Prediction of seismic performance of coastal and port structures via LSTM-based transfer function retrieval approach
3rd International Conference on Applied Mathematics in Engineering (ICAME 2024), Balıkesir/TÜRKİYE, 26 Haziran 2024, s. 193
ERBAY ABDULLAH BURAK,BAYINDIR CİHAN
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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
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Combining predictive base models using deep ensemble learning
JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, Vol. 39, No. 5, Ocak 2020, s. 6657-6668, ISSN: 1064-1246
ÖNER MAHİR, ÜSTÜNDAĞ ALP
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