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[HTML][HTML] Delamination detection in CFRP laminates using deep transfer learning with limited experimental data
Carbon fiber reinforced polymer (CFRP) composites have been continuously replacing
conventional metallic materials due to their excellent material properties. The orthotropic …
conventional metallic materials due to their excellent material properties. The orthotropic …
[HTML][HTML] Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Precise and timely disease diagnosis is essential for making effective treatment decisions
and halting disease progression. Biomedical signals offer the potential for non-invasive …
and halting disease progression. Biomedical signals offer the potential for non-invasive …
Automated system for the detection of heart anomalies using phonocardiograms: A systematic review (2013-2023)
Phonocardiogram (PCG) signals generated by the heart contain information about heart
conditions. This review examines how PCG analysis identifies and diagnoses heart issues …
conditions. This review examines how PCG analysis identifies and diagnoses heart issues …
Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning
S Teng, G Chen, Z Yan, L Cheng… - Structural Health …, 2023 - journals.sagepub.com
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 …
a one-dimensional convolutional neural network (1-D CNN) and transfer learning (TL). The …
PCG signal classification using a hybrid multi round transfer learning classifier
S Ismail, B Ismail - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
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 …
as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple …
Web-based cnn application for arabica coffee leaf disease prediction in smart agriculture
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 …
production. A first step in eliminating and treating infections to avoid crop damage is …
Heart murmur and abnormal PCG detection via wavelet scattering transform & a 1D-CNN
Heart murmurs provide valuable information about mechanical activity of the heart, which
aids in diagnosis of various heart valve diseases. This work does automatic and accurate …
aids in diagnosis of various heart valve diseases. This work does automatic and accurate …
Novel approach for ECG separation using adaptive constrained IVABMGGMM
In this paper, we introduce the constrained independent vector analysis integrated with the
bounded multivariate generalized Gaussian mixture model (cIVABMGGMM) to tackle the …
bounded multivariate generalized Gaussian mixture model (cIVABMGGMM) to tackle the …
External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as …
Objective There are few studies evaluating the accuracy of commercially available AI-
powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore …
powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore …
Automated Classification of Heart Disease using Deep Learning
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 …
problem. These conditions can only be diagnosed by qualified professionals using a …