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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LSTM-Based Learning Of Automata Models For Production Line Operations
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
IYAS MOHAMMAD IBRAHEEM ALTALAFHA
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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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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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CORE NETWORK ANOMALY DETECTION USING THE LSTM MODEL AND COMPARISON WITH VARIOUS UNSUPERVISED LEARNING METHODS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
SAMED ÇALIK
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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 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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LSTM-Based Learning Of Automata Models For Production Line Operations
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
IYAS MOHAMMAD IBRAHEEM ALTALAFHA
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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 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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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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Long Short‐Term Memory (LSTM)‐Based Modeling of Negative Bias Temperature Instability (NBTI) in 40 nm MOSFETs
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol. 38, Mayıs 2025, ISSN: 0894-3370
GENCER FİKRET BAŞAR,XHAFA XHESİLA,GÜNGÖRDÜ ALİ DOĞUŞ,YELTEN MUSTAFA BERKE
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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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On the Utilization of a Long Short-Term Memory Network (LSTM) For Predicting Groundwater Level Fluctuations
5th INTERNATIONAL CONGRESS ON ENGINEERING SCIENCES AND MULTIDISCIPLINARY APPROACHES, 25 Şubat 2023
EKMEKCİOĞLU ÖMER
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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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