Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN F Geyikçi, E Kılıç, S Çoruh, S Elevli Chemical Engineering Journal 183, 53-59, 2012 | 212 | 2012 |
Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin D Bingöl, M Hercan, S Elevli, E Kılıç Bioresource technology 112, 111-115, 2012 | 170 | 2012 |
Diagnosability of fuzzy discrete event systems E Kilic Information Sciences 178 (3), 858-870, 2008 | 74 | 2008 |
The use of NARX neural network for modeling of adsorption of zinc ions using activated almond shell as a potential biosorbent S Çoruh, F Geyikçi, E Kılıç, U Çoruh Bioresource technology 151, 406-410, 2014 | 71 | 2014 |
A novel permission-based Android malware detection system using feature selection based on linear regression DÖ Şahin, OE Kural, S Akleylek, E Kılıç Neural Computing and Applications, 1-16, 2023 | 62 | 2023 |
A fast and adaptive automated disease diagnosis method with an innovative neural network model E Alkım, E Gürbüz, E Kılıç Neural Networks 33, 88-96, 2012 | 62 | 2012 |
LinRegDroid: Detection of Android malware using multiple linear regression models-based classifiers DÖ Şahın, S Akleylek, E Kiliç IEEE Access 10, 14246-14259, 2022 | 54 | 2022 |
A new adaptive support vector machine for diagnosis of diseases E Gürbüz, E Kılıç Expert Systems 31 (5), 389-397, 2014 | 51 | 2014 |
Two new feature selection metrics for text classification DÖ Şahin, E Kılıç Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2019 | 44 | 2019 |
New results on permission based static analysis for Android malware DÖ Şahın, OE Kural, S Akleylek, E Kiliç 2018 6th International symposium on digital forensic and security (ISDFS), 1-4, 2018 | 42 | 2018 |
Modeling and real-time fault identification in transformers O Ozgonenel, E Kilic Journal of the Franklin Institute 345 (3), 205-225, 2008 | 39 | 2008 |
A novel Android malware detection system: adaption of filter-based feature selection methods DÖ Şahin, OE Kural, S Akleylek, E Kılıç Journal of Ambient Intelligence and Humanized Computing, 1-15, 2023 | 31 | 2023 |
How to handle data imbalance and feature selection problems in CNN-based stock price forecasting ZD Akşehir, E Kilic IEEE Access 10, 31297-31305, 2022 | 27 | 2022 |
PCA based protection algorithm for transformer internal faults E Kilic, O ÖZGÖNENEL, Ö USTA, D THOMAS Turkish Journal of Electrical Engineering and Computer Sciences 17 (2), 125-142, 2009 | 26 | 2009 |
A new method for fault detection and identification of incipient faults in power transformers O Ozgonenel, E Kilic, MA Khan, MA Rahman Electric Power Components and Systems 36 (11), 1226-1244, 2008 | 24 | 2008 |
Filtering turkish spam using LSTM from deep learning techniques EE Eryılmaz, DÖ Şahin, E Kılıç 2020 8th International Symposium on Digital Forensics and Security (ISDFS), 1-6, 2020 | 19 | 2020 |
Prediction of adsorption efficiency for the removal malachite green and acid blue 161 dyes by waste marble dust using ANN S Coruh, HE Gürkan, E Kilic, F Geyikci Global Nest J 16 (4), 676-689, 2014 | 19 | 2014 |
From classic observability to a simple fuzzy observability for fuzzy discrete-event systems E Kılıç, K Leblebicioğlu Information Sciences 187, 224-232, 2012 | 19 | 2012 |
Permission-based Android malware analysis by using dimension reduction with PCA and LDA DÖ Şahin, OE Kural, S Akleylek, E Kılıç Journal of Information Security and Applications 63, 102995, 2021 | 18 | 2021 |
Fault diagnosis with dynamic fuzzy discrete event system approach E Kılıç, Ç Karasu, K Leblebicioğlu Turkish Symposium on Artificial Intelligence and Neural Networks, 117-124, 2005 | 15 | 2005 |