Ultrafast lasers provide an outstanding processing quality but their main drawback is the low removal rate per pulse compared to Coaching longer pulses.This limitation could be overcome by increasing both average power and repetition rate.In this paper, we report on the influence of high repetition rate and pulse duration on both ablation Yellow Do

Machine learning techniques have emerged as a promising tool for efficient cache management, helping optimize cache performance and fortify against security threats.The range of machine learning is vast, from reinforcement learning-based cache replacement Feeders policies to Long Short-Term Memory (LSTM) models predicting content characteristics fo

Highly selective vagotomy accepted by increasing number of surgeons due to its low operative risk and relative lack of all side effects associated with other types of Hockey Skates - Senior - Rec surgery like Truncal Vagotomy and drainage procedures.Our study concentrates on cases of chronic duodenal ulcer operations by H.S.V.regarding morbidity, m

There are problems such as building occlusion and electromagnetic interference in substations, which lead to a rapid decline in the accuracy of traditional personnel control methods based on electromagnetic wave positioning.In order to avoid the reduction of power safety management and control efficiency due to the degradation of single sensor posi

The goal of large-scale automatic paintings analysis is to classify and retrieve images using machine learning techniques.The traditional methods use computer vision techniques on paintings to enable computers to represent the art content.In this work, we propose using a graph convolutional network and artistic comments rather than the painting col