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Forecasting Shanghai Containerized Freight Index by Using Time Series Models
Marine Science and Technology Bulletin, Vol. 10, No. 4, Ocak 2021, s. 426-434, ISSN: 2147-9666
KOYUNCU KAAN, TAVACIOĞLU LEYLA
Leyla Tavacıoğlu Özgün Makale
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
AKSOY HAFZÜLLAH,GEDİKLİ ABDULLAH,ÜNAL NECATİ ERDEM
Necati Erdem Ünal Tam metin bildiri
SEGMENTATION ALGORITHM FOR LONG TIME SERIES
2. INTERNATIONAL WORKSHOP ON HYDROLOGICAL EXTREMS, COSENZA/İTALYA, 6 Haziran 2007, s. 133-140
AKSOY HAFZÜLLAH,ÜNAL NECATİ ERDEM,GEDİKLİ ABDULLAH
Necati Erdem Ünal Tam metin bildiri
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
Necati Erdem Ünal Özgün Makale
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
Necati Erdem Ünal Özgün Makale
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
Necati Erdem Ünal Özgün Makale
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
Necati Erdem Ünal Özgün Makale
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
AKSOY HAFZÜLLAH,ÜNAL NECATİ ERDEM,ERİŞ EBRU,YÜCE MEHMET İSHAK
Necati Erdem Ünal Özgün Makale
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
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
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
Esra Erten Tam metin bildiri
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
Esra Erten Bilimsel KitapKitap Bölümü
Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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
MASHHADİ NOOSHİN, ALGANCI UĞUR
Uğur Algancı Özgün Makale
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
Yusuf Yaslan Tam metin bildiri
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
Yusuf Yaslan Tam metin bildiri
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
YASLAN YUSUF,BİCAN BAHADIR
Yusuf Yaslan Özgün Makale
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
Uğur Algancı Tam metin bildiri
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
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
Veysel Murat İstemihan Genç Tam metin bildiri

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