The uncertainty arising from random sampling of non-debris PRIDE flow samples significantly impacts the accuracy of debris flow susceptibility assessments (DFSA).This study introduces a novel uncertainty elimination method, Kernel Density Estimation (KDE), and compares it with Mean and Maximum Probability Analysis (MPA) methods.Furthermore, we inve

Text clustering problem (TCP) is a leading process in many key areas such as information retrieval, text mining, and natural language processing.This presents the need for a potent document clustering algorithm that can be used effectively to navigate, summarize, and arrange information to congregate large data sets.This paper encompasses an adapta

Colorectal cancer (CRC) is one of the most common malignant carcinomas worldwide with poor prognosis, imposing an increasingly heavy burden on patients.Previous experiments and epidemiological studies have shown that vitamin D and vitamin D-related genes play a vital role in CRC.Therefore, we aimed to construct a vitamin D-related gene signature to

The curvature of the NURBS curve varies along its trajectory, therefore, the commonly used feedrate-planning method, which based on the acceleration/deceleration (Acc/Dec) model, is difficult to be directly applied in CNC machining of a NURBS curve.To address this problem, a feedrate-planning method based on the critical constraint curve of the fee