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Enhancing ICT literacy and achievement: A TPACK-based blended learning model for Thai business administration students
The COVID-19 pandemic has heightened the need for 21st century skills, particularly
computer and ICT literacy (CICT) in Thailand. This study aimed to develop a TPACK …
computer and ICT literacy (CICT) in Thailand. This study aimed to develop a TPACK …
Artificial intelligence-driven intelligent learning models for identification and prediction of cardioneurological disorders: A comprehensive study
Abstract The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs)
in healthcare has transformed the field, offering precise diagnostics, remote monitoring …
in healthcare has transformed the field, offering precise diagnostics, remote monitoring …
[PDF][PDF] Efficient ECG Beats Classification Techniques for The Cardiac Arrhythmia Detection Based on Wavelet Transformation.
Arrhythmia is one of the cardiovascular disease types that affect humans and often leads to
death. generally, ECG signals uses to diagnose the patient's heart state where the ECG …
death. generally, ECG signals uses to diagnose the patient's heart state where the ECG …
Machine learning algorithms for processing and classifying unsegmented phonocardiographic signals: An efficient edge computing solution suitable for wearable …
The phonocardiogram (PCG) can be used as an affordable way to monitor heart conditions.
This study proposes the training and testing of several classifiers based on SVMs (support …
This study proposes the training and testing of several classifiers based on SVMs (support …
Advancement in self-powered implantable medical systems
Many different elements of patient monitoring and treatment can be supported by
implantable devices, which have proven to be extremely reliable and efficient in the medical …
implantable devices, which have proven to be extremely reliable and efficient in the medical …
[HTML][HTML] Assessment of Multi-Layer Perceptron Neural Network for Pulmonary Function Test's Diagnosis Using ATS and ERS Respiratory Standard Parameters
The aim of the research work is to investigate the operability of the entire 23 pulmonary
function parameters, which are stipulated by the American Thoracic Society (ATS) and the …
function parameters, which are stipulated by the American Thoracic Society (ATS) and the …
A Novel ECG Signal Quality Index Method Based on Skewness-MODWT Analysis
Wearable devices have gained significant popularity for continuous Electrocardiogram
(ECG) monitoring due to their compactness and convenience. Day-by-day and 24/7 …
(ECG) monitoring due to their compactness and convenience. Day-by-day and 24/7 …
[PDF][PDF] The Effect of Pre-processing on a Convolutional Neural Network Model for Dorsal Hand Vein Recognition.
O Tarawneh, Q Saber, A Almaghthawi… - … Journal of Advanced …, 2024 - researchgate.net
There are numerous techniques for identifying users, including cards, passwords, and
biometrics. Emerging technologies such as cloud computing, smart gadgets, and home …
biometrics. Emerging technologies such as cloud computing, smart gadgets, and home …
[PDF][PDF] Ensemble of deep learning models for classification of heart beats arrhythmias detection
S Jayanthi, S Devi - Journal of Theoretical and Applied Information …, 2023 - jatit.org
Arrhythmias are one of the top causes of death worldwide, and due to changing lifestyles,
their prevalence is rising dramatically. Due to their non-invasive nature, ECG signals have …
their prevalence is rising dramatically. Due to their non-invasive nature, ECG signals have …
Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT Images
Accurate prognosis and diagnosis are crucial for selecting and planning lung cancer
treatments. As a result of the rapid development of medical imaging technology, the use of …
treatments. As a result of the rapid development of medical imaging technology, the use of …