The Method for Forecasting Relative Humidity with Height
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YAVUZ VELİ,AKBAYIR İBRAHİM,ÖZEN CEM,DENİZ ALİ
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Total ozone over Ankara and its forecasting using regression models
International Journal of Remote Sensing, Vol. 30, No. 17, Eylül 2009, s. 4387
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Fuzzy rule based demand forecasting and an application on fast moving consumer industry
Pamukkale University Journal of Engineering Sciences, Vol. 24, No. 1, Ocak 2018, s. 83-93, ISSN: 1300-7009
ÇAYIR ERVURAL BEYZANUR,UÇAL SARI İREM,KOÇYİĞİT BERK
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Performance Forecasting Methods in Construction Industry Deterministic Approach,
6th International Project and Construction Management e-Conference (e-IPCMC-2020), İstanbul/TÜRKİYE, Vol. 1, No. 1, 12 Kasım 2020, s. 151-161
YAYLALI RÜÇHAN,TAŞ ELÇİN FİLİZ
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A gene wavelet model for long lead time drought forecasting
Journal of Hydrology, Vol. 517, Eylül 2014, s. 691-699, ISSN: 00221694
ALİ DANANDEH MEHR,KAHYA ERCAN,ÖZGER MEHMET
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Artificial neural network models for forecasting intermittent monthly precipitation in arid regions
Meteorological Applications, Vol. 16, No. 3, Eylül 2009, s. 325-337, ISSN: 13504827
DAHAMSHEH AHMAD,AKSOY HAFZÜLLAH
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Markov Chain Incorporated Artificial Neural Network Models for Forecasting Monthly Precipitation in Arid Regions
Arabian Journal for Science and Engineering, Vol. 39, No. 4, Nisan 2014, s. 2513-2524, ISSN: 1319-8025
DAHAMSHEH AHMAD,AKSOY HAFZÜLLAH
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A Demand Forecasting Methodology for Fuzzy Environments
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol. 16, No. 1, 2010, s. 121-139
KABAK OEZGUER , UELENGİN FUESUN
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Forecasting on first generation bioethanol production: A comparison of selected linear and non-linear models
Journal of Renewable and Sustainable Energy, Vol. 9, No. 4, Temmuz 2017, s. 43101, ISSN: 1941-7012
BAYRAKDAR ATEŞ EZGİ,BARUTÇU BURAK,KARAOSMANOĞLU FİLİZ
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Demand prediction in health sector using fuzzy grey forecasting
Journal of Enterprise Information Management, Vol. 31, No. 6, Ekim 2018, s. 937-949, ISSN: 1741-0398
ZOR CEYDA,ÇEBİ FERHAN
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Forecasting Automobile Sales in Turkey with Artificial Neural Networks
International Journal of Business Analytics, Vol. 6, No. 4, Ekim 2019, s. 50-60, ISSN: 2334-4547
KAYA AYCAN,KAYA GİZEM,ÇEBİ FERHAN
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Sales forecasting by artificial neural networks for the apparel retail chain stores
International Conference on Intelligent and Fuzzy Systems, INFUS 2019, İstanbul/TÜRKİYE, Vol. 1029, 23 Temmuz 2019, s. 451-456
ÇAĞLAYAN NADİDE,SATOĞLU ŞULE ITIR,CAN EMİNE NİSA
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Forecasting land cover growth using remotely sensed data A case study of the Igneada protection area in Turkey
environmental monitoring and assessment, Vol. 187, No. 3, Şubat 2015, s. 59
BOZKAYA GONCA,BEKTAŞ BALÇIK FİLİZ,GÖKSEL ÇİĞDEM,EŞBAH TUNÇAY HAYRİYE
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Application of ANN for Short Term Forecasting of Wind Power Density
XV International Scientific Conference, Renewable Energy & Innovative Technologies, 10 Haziran 2016
AKINCI TAHİR ÇETİN,NOĞAY HIDIR SELÇUK,GUSEİNOVİENE ELEONORA,JELENA DİKUN,ŞEKER ŞAHİN SERHAT
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A fuzzy expert system design for forecasting return quantity in reverse logistics network
Journal of Enterprise Information Management, Vol. 27, No. 3, 2014, ISSN: 1741-0398
TEMUR GÜL TEKİN,BALCILAR MUHAMMET,BOLAT HÜR BERSAM
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Sales forecasting by artificial neural networks for the apparel retail chain stores An application
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ÇAĞLAYAN NADİDE,SATOĞLU ŞULE ITIR,CAN EMİNE NİSA
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TARBiL sensor network and data fusion system for continuous time crop yield monitoring in Turkey
JRC – MARS Unit, EIA Workshop on crop yield forecasting in South East Europe, Üsküp/MAKEDONYA, 1 Ekim 2013
ÜSTÜNDAĞ BURAK BERK
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Long term PDSI drought forecasting using genetic programming a case study in Konya province Turkey
Soft computing in water resources engineering, Nicosia/KUZEY KIBRIS TÜRK CUMHURİYETİ, 29 Kasım 2016
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Total ozone over Ankara and its forecasting using regression models
International Journal of Remote Sensing, Vol. 30, No. 17, Ağustos 2009, s. 4387-4400, ISSN: 0143-1161
AKSOY B., INCECİK S., TOPCU S., DEMİRHAN BARİ D., KAHYA C., ACAR Y., OZUNLU M., EKİCİ M.
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A new 2-additive Choquet integral based approach to qualitative cross-impact analysis considering interaction effects
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