Nowadays, internet of things (IoT) applications, especially in smart cities, are fast
developing. Clustering is a promising solution for handling IoT issues such as energy …

In a continuous data stream vehicular network environment, a Traffic Congestion Detection
Service (TCDS) receives many periodic information to update and discover road segments …

Smart City is recognized as a potential approach to address serious urban issues such as
traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how …

Nonrecurrent congestion (NRC) events caused by incidents bring unexpected delays and
affect normal traffic operations. Imprecise NRC event detection methods can trigger false …

针对大数据背景下K means 存在选取质心导致的局部最优解, 聚类速度慢的问题,
提出一种Flink 平台下的CK means 聚类优化及并行策略. 从算法优化层面, 采用Canopy …

Due to the effect of performance degradation and various work loads of aero-engines, it is
difficult to accurately evaluate and correctly classify the operational condition of engines …

Today, the Internet of Things (IoT) application have developed rapidly, such as smart home,
smart city, smart greenhouse, smart retail, industrial automation, intelligent transportation …

Based on the parallel K‐means algorithm, this article conducts in‐depth research on the
related issues of marketing node detection under the Internet, including designing a new …

WQAR data has the characteristics of large scale, high dimension and many random
interference factors, which makes it extremely difficult to use WQAR operational data for …

Анотація У статті розглянуті деякі аспекти проектування модуля системи підтримки
прийняття рішень (СППР) в ході аналізу великих аварій або НС на міському транспорті …