Abstract: DBSCAN algorithm is a representative density-based clustering algorithm that has gained widespread application due to its ability to discover cluster of arbitrarily shapes and effectively ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

1 Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. In modern society, dense crowd detection technology is particularly ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...

Holy Cross Energy brings NREL algorithms out of the lab and into homes, setting a national example for grid control. Nearly every major U.S. city has set renewable energy goals that will require ...

An implementation of DBSCAN algorithm for clustering. This is made on 2 dimensions so as to provide visual representation. The repository consists of 3 files for Data Set Generation (cpp), ...

Abstract: With the explosive growth of data, we have entered the era of big data. In order to sift through masses of information, many data mining algorithms using parallelization are being ...