Articles with public access mandates - Erman ÇakıtLearn more
Not available anywhere: 3
Predicting the occurrence of adverse events using an adaptive neuro-fuzzy inference system (ANFIS) approach with the help of ANFIS input selection
E Çakıt, W Karwowski
Artificial Intelligence Review 48 (2), 139-155, 2017
Mandates: US Department of Defense
Application of soft computing techniques for estimating emotional states expressed in Twitter® time series data
E Çakıt, W Karwowski, L Servi
Neural Computing and Applications 32 (8), 3535-3548, 2020
Mandates: US Department of Defense
Detecting Adverse Events in an Active Theater of War Using Advanced Computational Intelligence Techniques
J Zurada, D Shi, W Karwowski, J Guan, E Çakıt
International Conference on Theory and Application of Fuzzy Systems and Soft …, 2018
Mandates: US Department of Defense
Available somewhere: 5
Batch and Data Streaming Classification Models for Detecting Adverse Events and Understanding the Influencing Factors
J Zurada, D Shi, W Karwowski, J Guan, E Çakıt
Engineering Applications of Artificial Intelligence 85, 72-84, 2019
Mandates: US Department of Defense
Understanding the Social and Economic Factors Affecting Adverse Events in an Active Theater of War: A Neural Network Approach
E Çakıt, W Karwowski
Advances in Cross-Cultural Decision Making, 215-223, 2017
Mandates: US Department of Defense
A fuzzy overlay model for mapping adverse event risk in an active war theater
E Çakıt, W Karwowski
Journal of Experimental & Theoretical Artificial Intelligence 30 (5), 691-701, 2018
Mandates: US Department of Defense
Potential Applications of Soft-Computing Techniques for Human Socio-Cultural Behavior Modeling
E Çakıt, W Karwowski
JOURNAL OF COMPUTERS 12 (4), 284-290, 2017
Mandates: US Department of Defense
A cellular automata model of the relationship between adverse events and regional infrastructure development in an active war theater
H Bozkurt, W Karwowski, E Çakıt, T Ahram
Technologies 7 (3), 2019
Mandates: US Department of Defense
Publication and funding information is determined automatically by a computer program