A study analyzing data from thousands of Brazilian municipalities identified regions with the greatest potential for ...

A study analyzing data from thousands of Brazilian municipalities identified regions with the greatest potential for producing and using green ...

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 ...

The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...

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 ...

In this manuscript, the authors analyse the nanoscale localisation of α5β1 and αVβ3 integrins in integrin adhesion complexes (IAC) by dual-colour STORM and assess the spatial organisation at the nano ...

Abstract: Clustering is a type of data mining algorithm aimed at discovering hidden patterns in the data, and spatial clustering is an important type of it. Density-based spatial clustering of ...

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 ...