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Now showing items 11-20 of 84
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
(
Elsevier
, 2023 , Article)
Gait analysis is helpful for rehabilitation, clinical diagnoses, and sporting activities. Among the gathered signals, ground reaction forces (GRF) may be used for assisting doctors in recognizing and categorizing gait ...
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
(
IOP Publishing Ltd
, 2021 , Article)
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ...
Enhance data availability and network consistency using artificial neural network for IoT
(
Springer
, 2022 , Article)
IoT networks have become famous and utilized in many industries such as agriculture, medical, manufacture, and others due to their efficiency and productivity. WSN is an IoT network used for smart farming and smart health ...
Effects of titanium and carbon nanotubes on nano/micromechanical properties of HA/TNT/CNT nanocomposites
(
Elsevier
, 2021 , Article)
In this study, hydroxyapatite/titanium nanotube/carbon nanotube (HA/TNT/CNT) nanocomposites with different CNT contents were fabricated using a combination of hydrothermal and sol–gel methods. The nanocomposite powders ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
(
Elsevier
, 2022 , Article)
The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on
the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate
scheduling ...
Novel techniques for improving NNetEn entropy calculation for short and noisy time series
(
Springer Science and Business Media B.V.
, 2023 , Article)
Entropy is a fundamental concept in the field of information theory. During measurement, conventional entropy measures are susceptible to length and amplitude changes in time series. A new entropy metric, neural network ...
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
(
MDPI
, 2023 , Article)
Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ...
Surface Acoustic Wave (SAW) Sensors for Hip Implant: A Numerical and Computational Feasibility Investigation Using Finite Element Methods
(
MDPI
, 2023 , Article)
In this paper, a surface acoustic wave (SAW) sensor for hip implant geometry was proposed for the application of total hip replacement. A two-port SAW device was numerically investigated for implementation with an operating ...
Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images
(
MDPI
, 2022 , Article)
Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically ...