DBSCAN is widely used in many scientific and engineering fields because of its simplicity
and practicality. However, due to its high sensitivity parameters, the accuracy of the …

The utilization of Device-to-Device (D2D) communication among Narrowband Internet of
Things (NB-IoT) devices offers significant potential for advancing intelligent healthcare …

Many density-based clustering algorithms already proposed in the literature are capable of
finding clusters with different shapes, sizes, and densities. Also, the noise points are …

Trajectory clustering algorithms analyze the movement trajectory of the target objects to
mine the potential movement trend, regularity, and behavioral patterns of the object …

This study aims to investigate the potential of educational data mining (EDM) in addressing
the issue of delayed completion in undergraduate student thesis courses. Delayed …

Monitoring aircraft structural health with changing loads is critical in aviation and aerospace
engineering. However, the load equation needs to be calibrated by ground testing which is …

For the shortcomings of an unstable clustering effect and low accuracy caused by the
manual setting of the two parameters Eps and MinPts of the DBSCAN (density-based spatial …

The density‐based spatial clustering of application with noise (DBSCAN) algorithm has
good robustness and is widely employed to cluster vehicle trajectories for vehicle movement …

摘要退役动力电池梯次利用时电池单体不一致性对于分选后电池组性能具有重要影响,
高效的分选方法能够降低电池不一致性, 提高电池组的使用性能和安全性. 针对目前常用的电池 …

Modern attacks, such as advanced persistent threats, hide command-and-control channels
inside authorized network traffic like DNS or DNS over HTTPS to infiltrate the local network …