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Tag Archives: Machine Learning

Arrhythmia Detection using Hybrid Features Extracting Strategy

Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or by abnormally fast rates (‘tachycardia’) or abnormally slow rates (‘bradycardias’). In the past researchers extracted different features extracting strategies to detect the arrhythmia. Since, signals acquired from subjects suffered with arrhythmia are multivariate, highly nonlinear, nonstationary, …

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Automated Breast Cancer Detection using Machine Learning Techniques by Extracting Different Feature Extracting Strategies

Presented a paper titled “Automated Breast Cancer Detection using Machine Learning Techniques by Extracting Different Feature Extracting Strategies” 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering, Proceedings of TrustCom/BigDataSE 2018 IEEE Catalog Number: CFP18TRU-USB, ISBN: …

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