In order to improve the accuracy and stability of K-means algorithm and solve the problem of
determining the most appropriate number K of clusters and best initial seeds, an improved K …

Influenced by many complex factors, it is very difficult to obtain high-performance industrial
power load forecasting. The industrial power load forecasting is deeply studied by fusing …

Naive Bayes algorithm is one of the most effective methods in the field of text classification,
but only in the large training sample set can it get a more accurate result. The requirement of …

This paper proposes a framework for quality-based fault detection and diagnosis for
nonlinear batch processes with multimode operating environment. The framework seeks to …

Wind power has the characteristic of daily similarity. Furthermore, days with wind power
variation trends reflect similar meteorological phenomena. Therefore, wind power prediction …

Last mile delivery is an important part in the logistics service process of express enterprises
since it can directly contact with the customer and affect customer satisfaction. How to select …

Content recommendation based on device-to-device (D2D) multicast communications is
expected to become a promising approach to improve local area services. Importantly, two …

Three-Dimensional Measurement and Cluster Analysis for Deter... : Medicine Three-Dimensional
Measurement and Cluster Analysis for Determining the Size Ranges of Chinese …

In order to improve the operation reliability and new energy consumption rate of the
combined wind–solar storage system, an optimal allocation method for the capacity of the …

Introduction Safety is the lifeline of tourism development. The article's goal is to examin how
Chinese tourists perceive risk when travelling aboard. Methods In order to create the initial …