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 comparison of LSTM and GNN based session recommendation systems
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
ÇAĞRI EMRE YILDIZ
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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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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 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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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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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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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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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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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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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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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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Predicting Ocean Energy Harvesting Dynamics using LSTM Deep Learning Network
34th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures TEAM 2020/21 Conference, İstanbul/TÜRKİYE, 6 Aralık 2021, s. 416-423
ALAN ALİ RIZA, 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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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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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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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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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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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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