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A USER-FRIENDLY TOOL FOR CONSTANT MEAN-SEGMENTATION OF LONG TIME SERIES
3. INTERNATIONAL WORKSHOP ON HYDROLOGICAL EXTREMS, COSENZA/İTALYA, 10 Temmuz 2008, s. 35-41
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SEGMENTATION ALGORITHM FOR LONG TIME SERIES
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Segmentation algorithm for long time series analysis
Stochastic Environmental Research and Risk Assessment, Vol. 22, No. 3, Nisan 2008, s. 291-302, ISSN: 1436-3240
GEDİKLİ ABDULLAH,AKSOY HAFZÜLLAH,ÜNAL NECATİ ERDEM
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Fast segmentation algorithms for long hydrometeorological time series
Hydrological Processes, Vol. 22, No. 23, Kasım 2008, s. 4600-4608, ISSN: 08856087
AKSOY HAFZÜLLAH,GEDİKLİ ABDULLAH,ÜNAL NECATİ ERDEM,ATHANASİOS KEHAGİAS
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Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
Stochastic Environmental Research and Risk Assessment, Vol. 24, No. 5, Temmuz 2010, s. 547-557, ISSN: 1436-3240
GEDİKLİ ABDULLAH,AKSOY HAFZÜLLAH,ÜNAL NECATİ ERDEM,ATHANASİOS KEHAGİAS
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AUG Segmenter a user friendly tool for segmentation of long time series
Journal of Hydroinformatics, Vol. 12, No. 3, Temmuz 2010, s. 318, ISSN: 1464-7141
GEDİKLİ ABDULLAH,AKSOY HAFZÜLLAH,ÜNAL NECATİ ERDEM
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Stochastic modeling of Lake Van water level time series with jumps and multiple trends
Hydrology and Earth System Sciences, Vol. 17, No. 6, Haziran 2013, s. 2297-2303
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Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning
REMOTE SENSING, Vol. 14, No. 21, Kasım 2022, s. 24, ISSN: 2072-4292
ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, YÜZÜGÜLLÜ ONUR, FAJRAOUİ NOURA, ERTEN ESRA
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Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 60, Ocak 2022, s. 11, ISSN: 0196-2892
EFREMOVA NATALİA, EL AMİNE SEDDİK MOHAMED, ERTEN ESRA
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Interpretable Cotton Yield Prediction Model Using Earth Observation Time Series
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, 16 Temmuz 2023, ISSN: 2153-7003
IŞIK MUSTAFA SERKAN, ÇELİK MEHMET FURKAN, ERTEN ESRA
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A Review on Multi-temporal Earthquake Damage Assessment Using Satellite Images Change Detection and Image Time Series Analysis 2: Supervised Methods
2021, s. 155-205, WILEY
TAŞKIN KAYA GÜLŞEN, ERTEN ESRA, ALATAŞ ENES OĞUZHAN
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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Evaluating BFASTMonitor Algorithm in Monitoring Deforestation Dynamics in Coniferous and Deciduous Forests with LANDSAT Time Series: A Case Study on Marmara Region, Turkey
ISPRS International Journal of Geo-Information, Vol. 11, No. 11, Kasım 2022, s. 573, ISSN: 2220-9964
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A Transient Stability Prediction Method based on Multi-Channel Convolutional Neural Networks Using Time Series of PMU Measurements
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
MOARREF NAZANİN,JAFARZADEH SEVDA,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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A hybrid method for time series prediction using EMD and SVR
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP),, 21 Mayıs 2014
BİCAN BAHADIR,YASLAN YUSUF
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Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
Measurement, Vol. 103, Haziran 2017, s. 52-61, ISSN: 02632241
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ANALYSIS OF NATURAL LAND COVER CHANGE USING TIME SERIES: A CASE STUDY OF ISTANBUL
4th International Water and Environment Fair and Congress, Bursa/TÜRKİYE, 22 Nisan 2018
SARITÜRK BATUHAN,ATİK MUHAMMED ENES,ALGANCI UĞUR,ÖZTÜRK OZAN,DURAN ZAİDE,ŞEKER DURSUN ZAFER
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Distribution of test statistics under parameter uncertainty for time series data: an application to testing skewness, kurtosis and normality
Hacettepe University, Vol. 51, No. 1, Şubat 2022, s. 20, ISSN: 2651-477X
BERA ANİL K., DOĞAN OSMAN, TAŞPINAR SÜLEYMAN
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A Transient Stability Prediction Method based on Multi-Channel Convolutional Neural Networks Using Time Series of PMU Measurements
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
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