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 ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

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 ...

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), ...

working with amazons3 ,t2.micro Ubuntu instance, Amazon AutoScaling group, Map-Reduce and Parallelize the implementation of K-means and DBSCAN algorithm using Hadoop and Map reduce cluster ...