IntroductionRepresentation learning allows artificial intelligence (AI) models to learn useful features from large, unlabelled datasets.This can reduce the need for labelled data across a range of downstream tasks.It was hypothesised that wave segmentation would be a useful form of electrocardiogram (ECG) representation learning.In addition to redu
Abstract This paper studies the stiffening effects of the material strain rate sensitivity and strain hardening on the saturated impulse of elastic, perfectly plastic plates.Finite element (FE) code ABAQUS is employed to simulate the elastoplastic response of square plates under rectangular pressure pulse.Rigid-plastic analyses for saturated impuls
Feature Recognition (FR) in Computer-aided Design (CAD) models is central for ACCESSORIES Design and Manufacturing.FR is a problem whose computational burden is intractable (NP-hard), given that its underlying task is the detection of graph isomorphism.Until now, compromises have been reached by only using FACE-based geometric information of prisma
The paper builds on the existing literature on monetary policy frameworks, exploring their role in balancing Anemometers price stability, economic growth, and social equity.The aim is to analyze the influence of macroeconomic, in particular monetary, factors on income inequality in Ukraine.Using annual data from 1999 to 2021, the study employs mult