A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Due to its inherent complexity, remote sensing image clustering is a challenging task. Recently, some spatial-based clustering approaches have been proposed; however, one crucial factor with regard to ...

For the shortage of K-Means algorithm, a clustering algorithm based on trust value called TrustCluster is proposed, The algorithm does not need to pre-specify the number of clusters, and clustering ...