Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
The environment is an important but overlooked piece in the construction of multiagent-based scenarios. Richness, believability and variety of scenarios are inseparable from the en...
Paul Hsueh-Min Chang, Kuang-Tai Chen, Yu-Hung Chie...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
—Autonomous wireless agents such as unmanned aerial vehicles, mobile base stations, or self-operating wireless nodes present a great potential for deployment in next-generation w...