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Metin Zontul
Metin Zontul
Sivas Bilim ve Teknoloji Üniversitesi
Verified email at sivas.edu.tr
Title
Cited by
Cited by
Year
Urban bus arrival time prediction: A review of computational models
M Altinkaya, M Zontul
International Journal of Recent Technology and Engineering (IJRTE) 2 (4 …, 2013
1102013
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
G Coskuner, MS Jassim, M Zontul, S Karateke
Waste Management & Research 39 (3), 499-507, 2021
582021
Veri zarflama analizi ile OECD ülkelerinin telekomünikasyon sektörlerinin etkinliğinin ölçülmesi
O Kaynar, M Zontul, H Bircan
CÜ İktisadi ve İdari Bilimler Dergisi 6 (1), 37-57, 2005
412005
Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey
M Zontul, F Aydin, G Dogan, S Sener, O KAYNAR
Journal of Theoretical and Applied Information Technology 56 (1), 2013
372013
Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation
MS Jassim, G Coskuner, M Zontul
Waste Management & Research 40 (2), 195-204, 2022
312022
SİVAS İLİNDE YAPAY SİNİR AĞLARI İLE HAVA KALİTESİ MODELİNİN OLUŞTURULMASI ÜZERİNE BİR UYGULAMA
AG YÜKSEK, H BİRCAN, M ZONTUL, O KAYNAR
252007
Mevduat bankalarının karlılığının yapay sinir ağları ile tahmini: Bir yazılım modeli tasarımı
F Sönmez, M Zontul, Ş Bülbül
BDDK Bankacılık ve Finansal Piyasalar Dergisi 9 (1), 9-46, 2015
242015
Automated evaluation of Cr-III coated parts using Mask RCNN and ML methods
R Katırcı, EK Yılmaz, O Kaynar, M Zontul
Surface and Coatings Technology 422, 127571, 2021
192021
SOM TİPİNDE YAPAY SİNİR AĞLARINI KULLANARAK TÜRKİYE’NİN İHRACAT YAPTIĞI ÜLKELERİN KÜMELENMESİ ÜZERİNE BİR ÇALIŞMA
H Bircan, M Zontul, AG Yüksel
Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi 20 (2), 219-239, 2010
192010
The prediction of the ZnNi thickness and Ni% of ZnNi alloy electroplating using a machine learning method
R Katirci, H Aktas, M Zontul
Transactions of the IMF 99 (3), 162-168, 2021
162021
Anomaly detection using data mining methods in it systems: a decision support application
F Sönmez, M Zontul, O Kaynar, H Tutar
Sakarya University Journal of Science 22 (4), 1109-1123, 2018
142018
A smart and mechanized agricultural application: From cultivation to harvest
F Kiani, G Randazzo, I Yelmen, A Seyyedabbasi, S Nematzadeh, FA Anka, ...
Applied Sciences 12 (12), 6021, 2022
132022
SOM tipinde yapay sinir ağlarını kullanarak Türkiye’nin ithalat yaptığı ülkelerin kümelenmesi üzerine bir çalışma
M Zontul, O Kaynar, H Bircan
CÜ İktisadi ve İdari Bilimler Dergisi 5 (2), 47-68, 2004
102004
A novel hybrid approach for sentiment classification of Turkish tweets for GSM operators
İ Yelmen, M Zontul, O Kaynar, F Sönmez
International Journal of Circuits, Systems and Signal Processing, 2018
92018
Drug sales prediction with ACF and PACF supported ARIMA method
V Demir, M Zontul, I Yelmen
2020 5th International Conference on Computer Science and Engineering (UBMK …, 2020
82020
Veri madenciliği yöntemleri ile ülkeleri gelişmişlik ölçütlerine göre kümeleme üzerine bir uygulama
B Akkuş, M Zontul
AURUM Journal of Engineering Systems and Architecture 3 (1), 51-64, 2019
82019
UYDU VERILERINE DAYALI OLARAK BITKI ÖRTÜSÜ ANALIZI
NE Bozkurt, M Zontul, Z Aslan
AURUM Journal of Engineering Systems and Architecture 2 (1), 75-82, 2018
82018
Modeling and estimating of load demand of electricity generated from hydroelectric power plants in Turkey using machine learning methods
B Dursun, F Aydin, M Zontul, S Sener
Adv. Electr. Comput. Eng 14 (1), 121-132, 2014
82014
DERSHANE EĞİTİMİNİN, ÖĞRENCİNİN ÜNİVERSİTEYE YERLEŞMESİNDEKİ ETKİSİ
B HATİPOĞLU, Z ASLAN, M ZONTUL, A GÜNEŞ
82011
Yapay Sinir Ağı Teknikleri Kullanarak Eğitim Yayıncılığı Sektöründe Veri Madenciliği= Data Mining On Education Publishing Sector By Artificial Neural Network Tecniques
M Zontul, A YANGIN
AURUM Journal of Engineering Systems and Architecture 1 (2), 1-15, 2018
62018
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Articles 1–20