When it comes to the structure of the aircraft, the mechanical properties of the composite
material that is commonly referred to as fibre metal laminate (FML). In this particular …

The usage of machine learning (ML) in decision-making software is rising, but recent events
have cast doubt on the reliability of ML forecasts. To tackle this, new approaches and …

Recently, numerous normalization layers for the purpose of stabilizing the training of deep
neural networks (DNN) have been developed. Group normalization is one such technique …

The purpose of this study is to examine the differences and similarities between the flank
wear of the tool when employing nano-MQL (N-MQL) and a new minimum quantity …

For sequential tasks, such as daily mood ratings, personalized prediction—a machine
learning method—can be useful since it predicts future observations based on a person's …

In order to improve the performance of Mobile Adhoc Networks (MANETs), the purpose of
this research is to make use of the Adaptive Link State Routing and Distance Vector Routing …

This paper makes an effort to examine the results of a quasi-static piercing test on Polylactic
Acid composites that have and have not been reinforced with silica nanoparticles. Research …

The primary objective of this study is to evaluate and contrast the impact strength of liquid
laminate reinforced composites that were manufactured through the use of stereolithography …

This research aims to evaluate the tensile strength of stereolithography liquid laminate
reinforced composites without a filler and those with silica nanoparticles in order to better …

The objective of this study is to investigate the effects of feed and spindle speed on the
flatness error on each composite using end milling cutting tools in hybrid metal matrix …