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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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 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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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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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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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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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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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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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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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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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
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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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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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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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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
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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
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Hotel Sales Forecasting with LSTM and N-BEATS
2023 8th International Conference on Computer Science and Engineering (UBMK), 13 Eylül 2023
ÖZÇELİK ŞUAYB TALHA, TEK FAİK BORAY, ŞEKERCİ ERDAL
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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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