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Improving foreign language proficiency in society by decision tree classification
English is an important language to learn at this time since it is an international language
that is commonly used to communicate with people from other countries. Furthermore …
that is commonly used to communicate with people from other countries. Furthermore …
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Among various life-threatening cardiac disorders, ventricular tachycardia (VT) and
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
Multilevel classification and detection of cardiac arrhythmias with high-resolution superlet transform and deep convolution neural network
Atrial fibrillation and ventricular fibrillation are the two most common cardiac arrhythmia.
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
A review of progress and an advanced method for shock advice algorithms in automated external defibrillators
Shock advice algorithm plays a vital role in the detection of sudden cardiac arrests on
electrocardiogram signals and hence, brings about survival improvement by delivering …
electrocardiogram signals and hence, brings about survival improvement by delivering …
Detection of ventricular fibrillation rhythm by using boosted support vector machine with an optimal variable combination
In this paper, the ventricular fibrillation (VF) rhythm is detected by using a new approach
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …
Application of classification method C4. 5 on selection of exemplary teachers
H Siahaan, H Mawengkang, S Efendi… - Journal of Physics …, 2019 - iopscience.iop.org
The study aims to analyze the selection of exemplary teachers using C4. 5 algorithm, which
is one of the existing decision tree methods in data mining theory. Teacher data was …
is one of the existing decision tree methods in data mining theory. Teacher data was …
Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network
S Sabut, O Pandey, BSP Mishra, M Mohanty - Physical and Engineering …, 2021 - Springer
Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases.
It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular …
It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular …
Classification of ECG beats using optimized decision tree and adaptive boosted optimized decision tree
Rapid advancements in our innovation have encouraged early analysis of diseases in the
clinical area. The primary diagnostic tool for detecting cardiovascular diseases is …
clinical area. The primary diagnostic tool for detecting cardiovascular diseases is …
Detection of Ventricular Arrhythmia by using Heart rate variability signal and ECG beat image
Ventricular Arrhythmia (VA) such as Ventricular Tachycardia (VT) and Ventricular Fibrillation
(VF) are the common type of arrhythmia in infants and children. Electrocardiogram (ECG) …
(VF) are the common type of arrhythmia in infants and children. Electrocardiogram (ECG) …
[PDF][PDF] Re-implementation of convolutional neural network for arrhythmia detection
Arrhythmia is an irregular heartbeat that may cause serious problems such as cardiac arrest
and heart failure if left untreated. A dozen of studies have been conducted to make an …
and heart failure if left untreated. A dozen of studies have been conducted to make an …