To address the issues of image feature insensitivity, high requirement of expert experience, and low recognition accuracy of traditional machine vision methods in train wheelset bearing damage detection, this paper proposes an identification method based on the framework of convolutional and transformer fusion networks for identifying damage to tra

The article is devoted to the research Tattoo Care of choral music by Samuel Barber who was a 20th-century American composer.The research is carried out in terms of its genre and style diversity.It represents the historical stages of turning to choral art.The compositions are differentiated by voice composition into a cappella choirs and choirs wit

Previous studies report greater activation in the cortical motor network in controlling eccentric contraction (EC) than concentric contraction (CC) of human skeletal muscles despite lower activation level of the muscle associated with EC.It is unknown, however, whether the strength of functional coupling between the primary motor cortex (M1) and ot

Financial market prediction has shown considerable potential in the past few years from the combination of contemporary Deep Learning (DL) techniques and traditional time series forecasting methodologies.To predict the stock prices of three distinct companies General Electric (GE), Microsoft (MSFT), and Amazon (AMZN) datasets.This study presents a