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Transfer learning for electricity price forecasting
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Discarding lifetime investigation of a rotation resistant rope subjected to bending over sheave fatigue
MEASUREMENT, Vol. 142, Ocak 2019, s. 163-169, ISSN: 0263-2241
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Energy-Efficient Hardware Implementation of Fully Connected Artificial Neural Networks Using Approximate Arithmetic Blocks
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Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
PeerJ, Vol. 11, Mart 2023, ISSN: 2167-8359
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Forecasting Automobile Sales in Turkey with Artificial Neural Networks
International Journal of Business Analytics (IJBAN), Vol. 6, No. 4, Ekim 2019, s. 50-60, ISSN: 2334-4547
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Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
Journal of Construction Engineering and Management, Vol. 146, No. 3, Mart 2020, ISSN: 0733-9364
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Predicting the Outcome of Construction Litigation Using Neural Networks
Computer-Aided Civil and Infrastructure Engineering, Vol. 13, No. 2, Mart 1998, s. 75-81, ISSN: 1093-9687
ARDİTİ DAVİD,OKSAY FATİH E,TOKDEMİR ONUR BEHZAT
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Prediction of centrifugal slurry pump head reduction An artificial neural networks approach
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, Vol. 125, No. 1, Ocak 2003, s. 199-202, ISSN: 0098-2202
ENGİN TAHSİN,KURT AKİF
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Prediction of Highway Bridge Performance by Artificial Neural Networks and Genetic Algorithms
ISARC 17, Taipei, Taiwan/TAYVAN, 18 Eylül 2000, s. 1091-1098
TOKDEMİR ONUR BEHZAT,AYVALIK CEMAL,MOHAMMADİ JAMSHİD
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Adaptive convolution kernel for artificial neural networks
Journal of Visual Communication and Image Representation, Vol. 75, Şubat 2021, ISSN: 1047-3203
TEK FAİK BORAY, ÇAM İLKER, KARLI DENİZ
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Investigation of Seismic Behavior of Buried Pipelines with Artificial Neural Networks Algorithm
14th INTERNATIONAL CONGRESS ON ADVANCES IN CIVIL ENGINEERING (ACE 2020-21 ), İstanbul/TÜRKİYE, 6 Eylül 2021, s. 593-601
TOPRAK İREM, TOLON MERT, GHASEMLOUNIA REDVAN
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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, Haziran 2014, s. 1800-1809, ISSN: 1556-7036
İZGİ ERCAN,ÖZTOPAL AHMET,YERLİ BİHTER,KAYMAK MUSTAFA KEMAL,ŞAHİN AHMET DURAN
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Short mid term solar power prediction by using artificial neural networks
Solar Energy, Vol. 86, No. 2, Şubat 2012, s. 725-733, ISSN: 0038092X
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Compression of medical images by using artificial neural networks
Lecture Notes in Computer Science, Vol. 4113, 2006, s. 337-344, ISSN: 0302-9743
DOKUR ZÜMRAY
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Use of artificial Neural Networks for Modelling the Drape Behaviour of woolen Fabrics Treated with Dry Finishing Processes
FIBRES&TEXTILES IN EASTERN EUROPE, lodz/POLONYA, Vol. 23, No. 2, Mart 2015, s. 1230-3666, ISSN: 1230-3666
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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 1184 title
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The Estimated Energy Consumption Of Buildings With Artificial Neural Networks
Building Tomorrow Today, XI. International HVACR Technology Symposium, İstanbul/TÜRKİYE, 8 Mayıs 2014
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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
BASEL/İSVİÇRE, 2021, s. 169-196, MDPI
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Prediction of Short-Term Electricity Consumption by Artificial Neural Networks Using Temperature Variables
Avrupa Bilim ve Teknoloji Dergisi, Aralık 2018, s. 393-398, ISSN: 2148-2683
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