An effective bearing fault diagnosis model based on machine learning is proposed in this study.The model can separate into three stages: feature extraction, feature selection, and classification.In the stage of feature extraction, multiresolution analysis (MRA) and fast Fourier transform (FFT) are applied to extract the features from the raw signal
AbstractIn the face of increasing global unsustainable risks such as poverty, hunger, and pollution.Building sustainable agriculture (SA) in the digital age is a fundamental task for human survival.Based on the coupled coordination perspective, this paper constructs an SA system that takes into account more stakeholders by considering poverty allev
Abstract Background Health Human Resource (HHR) ratios are one measure of workforce supply, and are often expressed as a Beginner Kit ratio in the number of health professionals to a sub-set of the population.In this study, we explore national trends in HHR among physical therapists (PTs) across Canada.Methods National population data were combined
Highly mobile marine megafauna species, while widely distributed and frequently threatened, often aggregate in distinct localized habitats.Implementation of local management initiatives within these hotspots is more achievable than developing effective conservation strategies that encompass their entire distributions.Such measures have the potentia