“Küçük hanımlar, küçük beyler…
Sizler hepiniz, geleceğin bir gülü, yıldızı, bir bahtının aydınlığısınız. Memleketi asıl aydınlığa boğacak olan sizsiniz. Kendinizin ne kadar önemli, kıymetli olduğunuzu düşünerek ona göre çalışınız.”
M.Kemal ATATÜRK
Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang: New Framework Uses Patterns and Relations to Understand Terrorist Behaviors, Expert Systems and Applications, 78, 358-375.
Salih Tutun, Chun-An Chou, Erdal Canıyılmaz: A new forecasting framework for volatile behavior in net electricity consumption: A case study in Turkey *. Energy 10/2015; 93. DOI:10.1016/j.energy.2015.10.064
Sina Khanmohammadi, Salih Tutun, Yunus Kucuk: A New Multilevel Input Layer Artificial Neural Network for Predicting Flight Delays at JFK Airport. Procedia Computer Science 12/2016; 95. DOI:10.1016/j.procs.2016.09.321
Özkan Bali, Salih Tutun, Ali Pala, Cihan Çörekçi: A MCDM Approach with Fuzzy DEMATEL and Fuzzy TOPSIS for 3PL Provider Selection, Sigma 32, 222-239, 2014
Mohammed Aladeemy, Salih Tutun, Mohammad T. Khasawneh: A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence, Expert systems with Applications 88 (2017) 118–131.
Salih Tutun, Murat Akca, Omer Biyikli, Mohammad T. Khasawneh : An Outlier-Based Intention Detection for Discovering Terrorist Strategies, Procedia Computer Science 114, 132-138.
Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang: Networked Pattern Detection Framework for Identifying Suspicious Threats, Engineering Applications of Artificial Intelligence (Under Review).
Salih Tutun, Hossein Sangrody, Mohammad T. Khasawneh: Robust Energy Forecasting: Proposing Cohort Intelligence Based Adaptive Neural Fuzzy Inference Systems and Regression Equation Scenarios, Applied Soft Computing (Under Review).
Emrah Korkmaz, Salih Tutun, Ercan Izgi: A Intelligent Forecasting of Short-term Wind Speed for Different Heights, Energy Reports, (Accepted).
Salih Tutun, Mohammad Bataineh, Mohammed Aladeemy, Mohammad T. Khasawneh: The Optimized Elastic Net Regression Model for Electricity Consumption Forecasting. Proceedings of the 5th Annual World Conference of the Society for Industrial and Systems Engineering, San Francisco, CA, USA; 10/2016
Salih Tutun, Sina Khanmohammadi, Chun-An Chou, Yunus Kucuk: Network Topology based ANFIS Detection Framework for Identifying Terrorism Threats. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Sina Khanmohammadi, Lu He, Chun-An Chou: A Meta-heuristic LASSO Model for Diabetic Readmission Prediction. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Sina Khanmohammadi, Chun-An Chou: A Network-based Approach for Understanding Suicide Attack Behavior. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Haifeng Wang, Zhao Liu, Mehmet F. Yıldırım, Sina Khanmohammadi: An Agent Based Approach for Understanding Complex Terrorism Behaviors. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
H Sangrody, N Zhou, Salih Tutun, B Khorramdel, M Motalleb, M Sarailoo: Long term forecasting using machine learning methods. Power and Energy Conference at Illinois (PECI), 2018 IEEE, 1-5.
Salih Tutun, Chun-an Chou: A New Framework for Terrorist Group Prediction using Artificial Intelligence Techniques. Military Operation Research Society (MORS), Alexandria, Virginia; 06/2015
Erkam Guresen, Gulhan Kutlukaya, Salih Tutun: Predicting the Use of Violence using Machine Learning Methods, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Philadelphia, PA; 11/2015
Salih Tutun, Mohammad T. Khasawneh: A New Framework for Terrorist Group Prediction using Artificial Intelligence Techniques, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Nashville, Tennessee, 11/2016
Salih Tutun, Chun-an Chou: Prediction of Net Electricity Consumption by Using Forecasted Scenario Approach, Industrial & Systems Engineering Research Conference (ISERC), Nashville, Tennessee, 05/2015
Salih Tutun, Chun-an Chou: Understanding Patterns or Relations of the Terrorist Attacks in Big Data to Prevent Future Threats, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Philadelphia, PA; 11/2015.
Salih Tutun, Mohammad T. Khasawneh: Networked Pattern Recognition (NEPAR) Framework for Understanding and Detecting Future Terrorism Threads, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Nashville, Tennesse; 11/2016
Salih Tutun, Safak Yakti, Mohammad T. Khasawneh: Networked Pattern Recognition Framework for Classification, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, At: Houston, Texas; 10/2017.
Salih Tutun, Mohammad T. Khasawneh: New supervised classification approach as Networked Pattern Recognition Framework, Global Joint Conference on Industrial Engineering and Its Application Areas, Urgup, Nevsehir; 06/2018.
Ehsan Khan, Salih Tutun: Predicting organ donation outcome using network-based machine learning algorithms, Global Joint Conference on Industrial Engineering and Its Application Areas, Urgup, Nevsehir; 06/2018.
