| 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 | 114 | 2013 |
| 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 | 70 | 2021 |
| 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 | 39 | 2022 |
| 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 | 38 | 2005 |
| Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey M Zontul, F Aydın, G Doğan, S Şener, O Kaynar Scientific Research and Essays, 2013 | 35 | 2013 |
| SİVAS İLİNDE YAPAY SİNİR AĞLARI İLE HAVA KALİTESİ MODELİNİN OLUŞTURULMASI ÜZERİNE BİR UYGULAMA AG YÜKSEK, H BİRCAN, M ZONTUL, O KAYNAR | 29 | 2007 |
| 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 | 26 | 2021 |
| 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 | 26 | 2015 |
| 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, 2006 | 22 | 2006 |
| 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 | 18 | 2022 |
| 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 | 17 | 2021 |
| 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 | 13 | 2018 |
| 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 | 11 | 2004 |
| 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 | 10 | 2020 |
| 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 | 10 | 2018 |
| Modeling and estimating of load demand of electricity generated from hydroelectric power plants in Turkey using machine learning methods B Dursun, F Aydın, M Zontul, S Şener Advances in Electrical and Computer Engineering, 2014 | 10 | 2014 |
| 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 | 8 | 2019 |
| 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 | 8 | 2018 |
| DERSHANE EĞİTİMİNİN, ÖĞRENCİNİN ÜNİVERSİTEYE YERLEŞMESİNDEKİ ETKİSİ B HATİPOĞLU, Z ASLAN, M ZONTUL, A GÜNEŞ | 8 | 2011 |
| Yapay Sinir Ağı Teknikleri Kullanarak Eğitim Yayıncılığı Sektöründe Veri Madenciliği= Data Mining On Education Publishing Sector By Artificial Neural Network Tecniques M Zontul, A Yangın AURUM Journal of Engineering Systems and Architecture 1 (2), 1-15, 2017 | 7 | 2017 |
