Using support vector machine (SVM) and ionospheric total electron content (TEC) data for solar flare predictions
Predicting where and when space weather events such as solar flares and X-rays bursts are
likely to occur in a specific area of interest constitutes a significant challenge in space …
likely to occur in a specific area of interest constitutes a significant challenge in space …
Detection of acute myocardial ischemia based on support vector machines
In patients with acute myocardial ischemia, chest pains together with changes in ST/T
sections of ECG signal occur before the start of myocardial infarction. In this study, in order to …
sections of ECG signal occur before the start of myocardial infarction. In this study, in order to …
Detection of Acute Coronary Syndrome Based on Support Vector Machines and ECG
In patients with acute coronary syndrome (ACS), transient chest pains together with changes
in ST segment and T wave of ECG signal occur before the start of myocardial infarction. In …
in ST segment and T wave of ECG signal occur before the start of myocardial infarction. In …
Coronary Artery Disease Detection by using Support Vector Machines and Gaussian Mixture Model
In this study, a technique which detects the anomalies in ECG by using the state-of-the-art
signal processing and machine learning methods is developed to perform the robust …
signal processing and machine learning methods is developed to perform the robust …
[PDF][PDF] Detection of Myocardial Ischaemia based on Artificial Neural Networks and Skin Sympathetic Nerve Activity
In this study, we propose a new technique which detects the anomalies in skin sympathetic
nerve activity (SKNA) recorded from the chest wall by using the state-of-the-art signal …
nerve activity (SKNA) recorded from the chest wall by using the state-of-the-art signal …
Recent advances in machine learning for geological and geophysical case studies
W Zhou - … Conference on Computer Vision, Application, and …, 2021 - spiedigitallibrary.org
The exploration of geology and geophysics as an ancient and mysterious enterprise has
uncovered the mysteries of different corners of the earth. Advances in machine learning …
uncovered the mysteries of different corners of the earth. Advances in machine learning …
Anomaly Detection Technique Based on Sympathetic Nerve Activity for Detection of Cardiac Arrhythmia
In this study, a new technique which detects anomalies in skin sympathetic nerve activity
(SKNA) by using state-of-theart signal conditioning and machine learning methods is …
(SKNA) by using state-of-theart signal conditioning and machine learning methods is …
Detection of Myocardial Ischaemia by using ECG, Artificial Neural Network and Gaussian Mixture Model
In this study, a new technique which detects anomalies in skin sympathetic nerve activity
(SKNA) and ECG by using state-of-the-art signal processing and machine learning methods …
(SKNA) and ECG by using state-of-the-art signal processing and machine learning methods …
[PDF][PDF] Koroner Arter Hastalıgının Destek Vektör Makineleri ve Gauss Karısım Modeli ile Tespiti Coronary Artery Disease Detection by using Support Vector Machines …
In this study, a technique which detects the anomalies in ECG by using the state-of-the-art
signal processing and machine learning methods is developed to perform the robust …
signal processing and machine learning methods is developed to perform the robust …
Detection of Myocardial Infarction using Autonomic Nervous System, Gaussian Mixture Model and Artificial Neural Network
MB Terzi - 2020 Medical Technologies Congress (TIPTEKNO …, 2020 - ieeexplore.ieee.org
In this study, a new technique which detects anomalies in skin sympathetic nerve activity
(SKNA) and ECG by using state-of-the-art signal processing and machine learning methods …
(SKNA) and ECG by using state-of-the-art signal processing and machine learning methods …