Hotspots in maximum power point tracking algorithms for photovoltaic systems - A comprehensive and comparative review
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The prediction of nonlinear polar motions PMS based on artificial neural network ANN and fuzzy inference system ANFIS
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Fault section estimation in electrical power systems using artificial neural network approach
IEEE Transmission and Distribution Conference, 11 Nisan 1999
Z ELİF AYGEN,ŞEKER ŞAHİN SERHAT,BAĞRIYANIK MUSTAFA,BAĞRIYANIK FATMA GÜL,AYAZ EMİNE
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Fault section estimation in electrical power systems using artificial neural network approach
the 1999 IEEE/PES Transmission and Distribution Conference, Vol. 2, 11 Nisan 1999, s. 466-469
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Artificial Neural Network Solution of Advection-Diffusion Equation with Source Effects
2nd International Conference on Applied Mathematics in Engineering (ICAME’21), 1 Eylül 2021, s. 116-123
ÇELENK PELİN, GÜLEN SEDA, SARI MURAT
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Predicting Anemia in Medical Systems Using Artificial Neural Network Models
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Artificial Neural Network Modeling of a Synchronous Reluctance Motor
2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas/BULGARİSTAN, 1 Haziran 2022
KOREL CANER, SARIKAYA TURAN ALP
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Mobile Point Cloud Semantic Segmentation Using Artificial Neural Network and Appropriate Parameter Determination
The 43nd Asian Conference on Remote Sensing, Ulaanbaatar/MOĞOLİSTAN, 3 Ekim 2022
ATİK MUHAMMED ENES,DURAN ZAİDE
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Estimation of safe work behavior of seafarers using Artificial Neural Network
4th International Mediterranean Science and Engineering Congress (IMSEC 2019), ANTALYA/TÜRKİYE, 24 Nisan 2019
ELİDOLU GİZEM,UYANIK TAYFUN,ARSLANOĞLU YASİN
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Assessing the Performance of Kriging and Artificial Neural Network in Simulation-based Design Optimization
A.Yücel ODABAŞI Colloquium Series 4th International Meeting, İstanbul/TÜRKİYE, 15 Aralık 2022
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Comments on “Groundwater quality modeling using a novel hybrid data-intelligence model based on gray wolf optimization algorithm and multi-layer perceptron artificial neural network: a case study in Asadabad Plain, Hamedan, Iran” Cheraghi, Mehrdad et al. (10.1007/s11356-021–16300-4)
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BAŞAKIN EYYUP ENSAR
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Mobile Point Cloud Semantic Segmentation Using Artificial Neural Network and Appropriate Parameter Determination
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ATİK MUHAMMED ENES,DURAN ZAİDE
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Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films
Expert Systems with Applications, Vol. 207, Kasım 2022, s. 117937, ISSN: 0957-4174
DEMİRBAY BARIŞ, BAYRAM KARA DUYGU, UĞUR ŞAZİYE
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Artificial neural network model and multi-objective optimization of microchannel heat sinks with diamond-shaped pin fins
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, Vol. 194, Ocak 2022, s. 18, ISSN: 0017-9310
POLAT MUHAMMED EMİN, ÇADIRCI SERTAÇ
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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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Design of An Analog Circuit-Based Artificial Neural Network
2019 11th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey/TÜRKİYE, 28 Kasım 2019
GENCER FİKRET BAŞAR,XHAFA XHESİLA,İNAM BENAN BERİL,YELTEN MUSTAFA BERKE
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Design of An Analog Circuit-Based Artificial Neural Network
2019 11th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey/TÜRKİYE, 28 Kasım 2019
EROL DİDEM,GÜNGÖRDÜ ALİ DOĞUŞ,DÜNDAR GÜNHAN,YELTEN MUSTAFA BERKE
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Artificial neural network application to predict the sawability performance of large diameter circular saws
Measurement, Vol. 80, Şubat 2016, s. 12-20, ISSN: 02632241
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Prediction of roadheader performance by artificial neural network
Tunnelling and Underground Space Technology, Vol. 44, Eylül 2014, s. 3-9, ISSN: 08867798
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