Phonocardiogram (PCG) signals generated by the heart contain information about heart
conditions. This review examines how PCG analysis identifies and diagnoses heart issues …

This paper presents a novel vibration-based structural damage detection approach by using
a one-dimensional convolutional neural network (1-D CNN) and transfer learning (TL). The …

Diagnosis of cardiovascular diseases using Phonocardiography (PCG) is a challenging task
as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple …

Carbon fiber reinforced polymer (CFRP) composites have been continuously replacing
conventional metallic materials due to their excellent material properties. The orthotropic …

In the agriculture industry, plant diseases provide difficulty, particularly for Arabica coffee
production. A first step in eliminating and treating infections to avoid crop damage is …

This work leverages deep learning (DL) techniques in order to do automatic and accurate
heart murmur detection from phonocardiogram (PCG) recordings. Two public PCG datasets …

Objective There are few studies evaluating the accuracy of commercially available AI-
powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore …

Abstract Domain adaptation is a representative problem in transfer learning, which aims to
tackle the problem of insufficient labeled data in a target domain by exploiting discriminant …

A heart murmur is an atypical sound produced by the flow of blood through the heart. It can
be a sign of a serious heart condition, so detecting heart murmurs is critical for identifying …

Heart murmurs are irregular heartbeat patterns that may be a sign of a serious cardiac
problem. These conditions can only be diagnosed by qualified professionals using a …