PARAMETER-BASED RNN MICRO-INTERFACE INVERSION MODEL FOR WET FRICTION COMPONENTS MORPHOLOGY

The interface morphology significantly impact the service life of wet clutches friction components in heavy tracked vehicle transmission systems.This paper designs a sliding test and utilizes a recurrent neural network (RNN) model to construct the three-dimensional morphology of the turbosound ts-18sw700/8a wet clutch friction interface under speci

Abstract Locating bug code snippets (short for BugCode) has been a complex problem throughout the history of software security, mainly because the constraints that define BugCode are obscure and hard to summarize.Previously, security analysts attempted to define such constraints manually (e.g., limiting buffer size to detect overflow), but were lim