Abstract Image super-resolution methods based on diffusion models have achieved remarkable success, but they still suffer from two significant limitations.On the one hand, this algorithm requires a large number of denoising steps in the sampling process, which seriously Implementation of Machine Learning-Based System for Early Diagnosis of Feline M
Analyzing and processing mine wind speed monitoring data is the key to realizing intelligent ventilation and real-time calculation of the ventilation network.According to the characteristics of the artificial regulation of a mine ventilation system, a local regression fuzzy C clustering algorithm is proposed in this paper, which combines local outl
Abstract Background Plasmodium parasites are known to impose fitness costs on their vertebrate hosts.Some of these costs are due to the activation of the immune response, which may divert resources away from self-maintenance.Plasmodium parasites may also immuno-deplete their hosts.Thus, infected individuals may be less able to mount an immune respo
Hot spot policing involves the deployment of police patrols to places where high levels of crime have previously concentrated.The creation of patrol routes in these hot spots is mainly a manual process that involves using the results from an analysis of spatial patterns of crime to identify the areas and draw the routes that police officers are req
With the rapid growth of information transmission via the Internet, efforts have been made to reduce network load to promote efficiency.One such application is semantic computing, which can extract and process semantic communication.Social media has enabled users to share their current emotions, opinions, and life events through their mobile device