Streaming data arrives continually and is characterized by fast, massive, dynamic evolution
and instability. Different from traditional static data clustering, streaming data clustering …

Being an effective long-distance mass transit, the railway will continue to flourish for its
limited carbon footprint in the environment. Ensuring the equipment's reliability and …

In this paper, we propose a novel evolving clustering algorithm for streaming data entitled
EdgeCluster. The proposed algorithm is resource efficient, making it suitable for use at edge …

This paper proposes a novel multi-stream clustering algorithm, MultiStream EvolveCluster
(MS-EC), that can be used for continuous and distributed monitoring and analysis of …

Streaming data is becoming more prevalent in our society every day. With the increasing
use of technologies such as the Internet of Things (IoT) and 5G networks, the number of …

El Mantenimiento Predictivo se ha establecido como un componente crıtico de la Industria
4.0, optimizando la eficiencia operativa y minimizando los costos de mantenimiento gracias …