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Detecting human activities automatically in a video stream in various scenes is a challenging task. The major difficulty of this task lies in how to extract the spatial and temporal features of video sequences so that the human activities can be recognized. To tackle this problem, we propose a new classifier model using a BCM-based spiking neural network, where the auto-regulated plasticity and meta-plasticity...
Biological systems can generate robust and complex behaviors through limited local interactions in the presence of large amount of uncertainties. Inspired by biological organisms, we have proposed a gene regulatory network (GRN) based algorithm for self-organizing multiple robots into different shapes. The self-organization process is optimized using a genetic algorithm. This paper focuses on the...
Nonlinear problems are arising more and more often in searching for an approximate solution. One of these nonlinear problems is the boundary value problem. Most researches focus on the existence of positive solutions with the help of nonlinear analysis tools such as topological indices, critical point theory, etc, and the effective searching of an approximate solution is indeed an interesting problem...
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