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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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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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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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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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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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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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
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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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Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM
IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp/BELÇİKA, 25 Mayıs 2020, ISSN: 2577-2465
AYGÜL MEHMET ALİ, NAZZAL MAHMOUD, EKTİ ALİ RIZA, GÖRÇİN ALİ, DA COSTA DANİEL BENEVİDES, ATEŞ HASAN FEHMİ, ARSLAN HÜSEYİN
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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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