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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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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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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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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Use of LSTM for Short-Term and Long-Term Travel Time Prediction
International Workshop on Knowledge-Driven Analytics Impacting Human Quality of Life (KDAH-CIKM), 22 Ekim 2018
İŞLEK İREM,ÖĞÜDÜCÜ ŞULE
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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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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.
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Vibration control of a pier pile using deep learning LSTM network
The Second International Conference on Applied Mathematics in Engineering (ICAME 2021), Balıkesir/TÜRKİYE, 1 Eylül 2021
BAYINDIR CİHAN, NAMLI BARIŞ
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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
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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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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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