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Comparison of Empirical and Neural Network Hot Rolling Process Models
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Neural Network Modeling of A Plate Hot Rolling Process
MMM’2004, 11th IFAC Symposium on Automation in Mining, Mineral and Metal Processing, 8 Eylül 2004
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Enhancement of the National Strong Motion Network in Turkey
SEISMOLOGICAL RESEARCH LETTERS, Vol. 78, No. 4, Temmuz 2007, s. 429-438, ISSN: 0895-0695
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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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DETERMINATION OF MATERIAL HANDLING EQUIPMENT FOR LEAN IN-PLANT LOGISTICS USING FUZZY ANALYTICAL NETWORK PROCESS CONSIDERING RISK ATTITUDES OF THE EXPERTS
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2017, ISSN: 1943-670X
YILMAZ ÖMER FARUK,ÖNER SULTAN CEREN,ÖZTAYŞİ BAŞAR,DURMUŞOĞLU MEHMET BÜLENT
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Determination of Material Handling Equipment for Lean In-Plant Logistics Using Fuzzy Analytical Network Process Considering Risk Attitudes of the Experts
International Journal of Industrial Engineering: Theory, Applications and Practice, Vol. 24, No. 1, Ağustos 2017, s. 81-122
YILMAZ ÖMER FARUK,ÖZTAYŞİ BAŞAR,DURMUŞOĞLU MEHMET BÜLENT,ÖNER SULTAN CEREN
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Determination of Material Handling Equipment for Lean In-Plant Logistics Using Fuzzy Analytical Network Process Considering Risk Attitudes of the Experts
International Journal of Industrial Engineering: Theory, Applications and Practice, Vol. 24, No. 1, 2017, s. 81-122
YILMAZ ÖMER FARUK,ÖZTAYŞİ BAŞAR,DURMUŞOĞLU MEHMET BÜLENT,ÖNER SULTAN CEREN
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Determination of material handling equipment for lean in-plant logistics using fuzzy analytical network process considering risk attitudes of the experts
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, Vol. 24, No. 1, Şubat 2017, s. 81-122, ISSN: 1943-670X
YILMAZ ÖMER FARUK,ÖZTAYŞİ BAŞAR,DURMUŞOĞLU MEHMET BÜLENT,ÖNER SULTAN CEREN
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X-Ray Chest Image Classification by A Small-Sized Convolutional Neural Network
2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019
KESİM EGE,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
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Segmentation of ultrasound images by using a hybrid neural network
Pattern Recognition Letters, Vol. 23, No. 14, Aralık 2002, s. 1825-1836, ISSN: 01678655
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Medical image segmentation with transform and moment based features and incremental supervised neural network
Digital Signal Processing, Vol. 19, No. 5, Eylül 2009, s. 890-901, ISSN: 10512004
ZAFER İŞCAN,YÜKSEL AYHAN,KORÜREK MEHMET,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
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Segmentation of remote sensing images by the grow and learn network
Turkish Journal of Telecommunications TJT, Vol. 1, No. 2, 2002, s. 67-72
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A Neural Network Based Optimal Spatial Filter Design Method for Motor Imagery Classification
PLOS ONE, Vol. 10, No. 5, Mayıs 2015, s. 125039, ISSN: 1932-6203
AYHAN YUKSEL,ÖLMEZ TAMER
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
Lecture Notes in Networks and Systems, Mart 2023, ISSN: ISSN 2367-3370
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
The International Conference on Computing, Intelligence and Data Analytics, Kocaeli/TÜRKİYE, 16 Eylül 2022
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
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Ultrasound image segmentation by using wavelet transform and self organizing neural network
Neural Information Processing - Letters and Reviews, Vol. 10, No. 8-9, 2006, s. 183-191
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A Comparison of Hough Transform and Deep Neural Network Methods on Road Segmentation
International Symposium on Multidisciplinary Studies and Innovative Technologies, 11 Ekim 2019
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Segmentation of remote sensing images by incremental neural network
PATTERN RECOGNITION LETTERS, Vol. 26, No. 8, 2005, s. 1096-1104, ISSN: 0167-8655
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