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
|
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
|
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
|
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
|
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
|
A comparison of LSTM and GNN based session recommendation systems
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
ÇAĞRI EMRE YILDIZ
|
A comparatıve analysıs of LSTM and XGBoost methods for day ahead electrıcıty prıce forecastıng
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2020
CAHİT URAL KÜKNER
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
|