This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their c...
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Abstract. This study aims to recover transient, trialvarying evoked potentials (EPs), in particular the movement-related potentials (MRPs), embedded within the background cerebral ...
D. D. Ben Dayan Rubin, G. Baselli, Gideon F. Inbar...
This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodol...