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Spatial visualization (SV) skills contribute to success in engineering. However, ample research from American university settings indicates that various subsets of engineering students have significantly less-developed SV skills than those demonstrated by the majority male population. A multi-modal SV workshop intervention was provided within a first-year engineering projects design course in order...
Visualization of population in a high-dimensional objective space throughout the evolution process presents an attractive feature that could be well exploited in designing many-objective evolutionary algorithms (MaOEAs). In this paper, a new visualization method is proposed. It maps individuals from a high-dimensional objective space into a 2-D polar coordinate plot while preserving Pareto dominance...
As a part of the automatic study of visual attention of affected populations with neurodegenerative diseases and to predict whether new gaze records a complaint of these diseases, we should design an automatic model that predicts salient areas in video. Past research showed, that people suffering form dementia are not reactive with regard to degradations on still images. In this paper we study the...
As people use social media they form networks that have several basic forms: divided, unified, fragmented, clustered, and hub and spoke patterns with in and outward facing links. These patterns are associated with different types of topics and discussions: polarized, in-group, brand, community, broadcast, and support. Since each pattern has specific properties in terms of its ability to spread information...
Group Search Optimization (GSO) is a Swarm Intelligence (SI) approach for continuous optimization problems inspired by animal searching behavior and group living theory. The Artificial Fish Swarm (AFS) is an intelligent optimization algorithm based on the behavior of fish. In this paper, a new hybrid group search optimization method is presented, using the behaviors of the fish as scrounging strategies...
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