Forecasting Shanghai Containerized Freight Index by Using Time Series Models
Marine Science and Technology Bulletin, Aralık 2021, ISSN: 2147-9666
KOYUNCU KAAN, TAVACIOĞLU LEYLA
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Statistical feature learning and signal generation for time-series sensor signals
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
ERKAN KARAKUŞ
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Modeling volatility dynamics in financial time series: Ananalysis of econometric models and machine learningmethods
FEN BİLİMLERİ ENSTİTÜSÜ, BOĞAZİÇİ ÜNİVERSİTESİ, 2023
HAKAN ERCE
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Improving time series forecasts through predictive error compensation and deep feature fusion
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
MUHAMMED ENES BAŞ
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A novel approach for time series forecast combinations based on multi-criteria decision making (MCDM) methods
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
TUĞBA YASEMİN KARAGÖZ
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Predictive error compensated wavelet neural networks framework for time series prediction
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
SERKAN MACİT
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A case study in time series classification using machine learning and deep learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
BARIŞ KÜÇÜK
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An adaptive forecasting methodology by utilizing change point detection technique on time series
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
ALI NASER NAEIMI AVVAL
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Evaluating BFAST algorithm in landsat time series analysisof monitoring deforestation dynamics in coniferousand deciduous forests
BİLİŞİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
NOOSHIN MASHHADI
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Principal components and time series analysis of air-sea interactions in the "seans of the old world"
DENİZ BİLİMLERİ ENSTİTÜSÜ, ORTA DOĞU TEKNİK ÜNİVERSİTESİ, 2002
MURAT GÜNDÜZ
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Time series forecasting via computational intelligence methods
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2016
ATAKAN ŞAHİN
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Analysis and modeling of crustal deformation using InSAR time series along selected active faults within the Africa-Eurasia convergence zone
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2015
ESRA ÇETİN
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Machine learning applications for time series analysis
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
MERT CAN
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Time series classification via topological data analysis
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
ALPEREN KARAN
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Revisiting Major Dry Periods by Rolling Time Series Analysis for Human-Water Relevance in Drought
Water Resources Management, Vol. 36, Mayıs 2022, s. 2725-2739, ISSN: 0920-4741
ÇAVUŞ YONCA, STAHL KERSTIN, AKSOY HAFZÜLLAH
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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, Vol. 36, No. 16, Ocak 2014, s. 10, ISSN: 1556-7036
KAYMAK MUSTAFA KEMAL,DURNA BİHTER,İZGİ ERCAN,ÖZTOPAL AHMET,ŞAHİN AHMET DURAN
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Attention for GNSS height time series prediction: a comparative evaluation of modern transformer-based deep learning architectures
Advances in Space Research, Vol. 78, No. 2, Temmuz 2026, s. 957-972, ISSN: 0273-1177
BEZCİOĞLU MERT
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The Application of Artificial Neural Networks to the NAF Seismicity Time Series
38th International Physics Congress, Muğla/TÜRKİYE, 31 Ağustos 2022, s. 97-97
SALARI ASLAN, AYDOĞMUŞ ŞEN FATMA, ÖNİZ YEŞİM, KAPLANVURAL İSMAİL, ÇAKA DENİZ, TOSYALI EREN, MUTLU AHU
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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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Seasonally adjusted periodic time series for Mann-Kendall trend test
Physics and Chemistry of the Earth, Parts A/B/C, Vol. 138, Haziran 2025, s. 103848, ISSN: 1474-7065
GÜÇLÜ YAVUZ SELİM,ACAR RAMAZAN,SAPLIOĞLU KEMAL
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