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2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague/ÇEK CUMHURİYETİ, 29 Haziran 2020
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A Prototype Machine Translation System Between Turkmen and Turkish
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Modeling Toothpaste Brand Choice An Empirical Comparison of Artificial Neural Networks and Multinomial Probit Model
International Journal of Computational Intelligence Systems, Vol. 3, No. 5, 2010, s. 674-687, ISSN: 1875-6891
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Comments on Kavzoglu and Saka (2005) “Modelling local GPS/levelling geoid undulations using artificial neural networks
Journal of Geodesy, Vol. 78, No. 9, Ocak 2008, s. 177-178, ISSN: 2332-8223
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Annals of Nuclear Energy, Vol. 30, No. 17, Kasım 2003, s. 1777-1791, ISSN: 03064549
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Short-mid-term solar power prediction by using artificial neural networks
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Sales forecasting by artificial neural networks for the apparel retail chain stores
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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks
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A proposal for a method to calculate the adaptive reuse potentials of structures by using artificial neural networks
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Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
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AYHAN BİLAL UMUT,TOKDEMİR ONUR BEHZAT
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Determination of the Representative Time Horizons for Short term Wind Power Prediction by Using Artificial Neural Networks
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title Discussion of Sertel E Cigizoglu H K and Sanli D U 2011 Reply to Akyilmaz O 2010 Discussion of Sertel E Cigizoglu H K and Sanli D U 2008 Estimating Daily Mean Sea Level Heights Using Artificial Neural Networks i Journal of Coastal Research i 24 3 727 734 i Journal of Coastal Research i 26 6 1184 1185 i Journal of Coastal Research i 27 4 791 792 title
Journal of Coastal Research, Vol. 28, No. 2, Mart 2012, s. 528-529, ISSN: 0749-0208
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Comparative Research on Deep Learning Approaches for Airplane Detection from VeryHigh-Resolution Satellite Images Artificial Neural Networks and Evolutionary Computation in Remote Sensing
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Efficient Hardware Implementation of Artificial Neural Networks Using Approximate Multiply-Accumulate Blocks
2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 6 Temmuz 2020
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Artificial neural networks for dynamic monitoring of simulated operating parameters of high temperature gas cooled engineering test reactor HTTR
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Fault Detection of Wind Turbine Sensors Using Artificial Neural Networks
JOURNAL OF SENSORS, Vol. 2018, Aralık 2018, s. 1-11, ISSN: 1687-725X
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