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Erdal Kılıç
Erdal Kılıç
Ondokuz Mayıs University, Department of Computer Engineering
Bestätigte E-Mail-Adresse bei omu.edu.tr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1602012
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
1442012
Diagnosability of fuzzy discrete event systems
E Kilic
Information Sciences 178 (3), 858-870, 2008
652008
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
572014
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
502012
A new adaptive support vector machine for diagnosis of diseases
E Gürbüz, E Kılıç
Expert Systems 31 (5), 389-397, 2014
382014
Modeling and real-time fault identification in transformers
O Ozgonenel, E Kilic
Journal of the Franklin Institute 345 (3), 205-225, 2008
382008
Two new feature selection metrics for text classification
DÖ Şahin, E Kılıç
Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2019
262019
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
262018
PCA based protection algorithm for transformer internal faults
E Kilic, O ÖZGÖNENEL, O Usta, D THOMAS
Turkish Journal of Electrical Engineering & Computer Sciences 17 (2), 125-142, 2009
252009
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
222008
From classic observability to a simple fuzzy observability for fuzzy discrete-event systems
E Kılıç, K Leblebicioğlu
Information Sciences 187, 224-232, 2012
152012
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 Journal 16 (4), 676-689, 2014
142014
Lineer Olmayan Dinamik Sistemlerin Yapay Sinir Ağları ile Modellenmesinde MLP ve RBF Yapılarının Karşılaştırılması
E Kilic, U Ozbalci, HR Ozcalik
ELECO2012 Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyomu,(29.11 …, 2012
142012
Development of Experimental Results by Artificial Neural Network Model for Adsorption of Cu2+ Using Single Wall Carbon Nanotubes
F Geyikçi, S Çoruh, E Kılıç
Separation Science and Technology 48 (10), 1490-1499, 2013
132013
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
132005
Identification of transformer internal faults by using an RBF network based on dynamical principle component analysis
O Ozgonenel, E Kilic, D Thomas, AE Ozdemir
2007 International Conference on Power Engineering, Energy and Electrical …, 2007
122007
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, 2021
92021
Two new feature extraction methods for text classification: TESDF and SADF
E Kiliç, N Ateş, A Karakaya, DÖ Şahi̇n
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
92015
Fault identification in induction motors with RBF neural network based on dynamical PCA
E Kilic, O Ozgonenel, AE Ozdemir
2007 IEEE International Electric Machines & Drives Conference 1, 830-835, 2007
92007
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