Abstract Violence is a prevalent societal Analgesics issue that poses significant threats to individuals and communities.To address this challenge, researchers have developed various machine learning models to detect and prevent violent incidents.The violence detection problem statement is a critical challenge that requires innovative and collabora
This research was carried out during the realization of a project with the aim of developing a method of drying cellulose insulation in power transformers by using synthetic ester.Unfortunately, during the drying process, the ester is systematically contaminated with mineral oil, which reduces its water absorption.Information on the oil concentrati
As the share of air conditioning electricity consumption within total grid electricity consumption grows, the decomposition of such consumption becomes increasingly crucial for assessing electricity usage patterns, devising consumption scheduling strategies, and maintaining the stability of the power grid.Although there is a strong correlation betw
Due to manufacturing errors and material deteriorations in the metal rubber of clamps, the clamp stiffness of the pipeline is uncertain.This paper presents a non-intrusive multi-dimensional Chebyshev polynomial approximation method (M-CPAM) to evaluate uncertain characteristics of the frequency response function (FRF) of the clamp-pipeline system (