FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model

no code implementations • 9 Feb 2022 • Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor

First, the labeled dataset is applied to the NN and DNN to create the NN and DNN models.

Clustering

Early detection of the advanced persistent threat attack using performance analysis of deep learning

no code implementations • 19 Sep 2020 • Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool, Mohammad GhasemiGol, Shahab S., Amir Mosavi

One of the most common and important destructive attacks on the victim system is Advanced Persistent Threat (APT)-attack.

Specificity

Applying support vector data description for fraud detection

no code implementations • 31 May 2020 • Mohamad Khedmati, Masoud Erfani, Mohammad GhasemiGol

Fraud detection is an important topic that applies to various enterprises such as banking and financial sectors, insurance, government agencies, law enforcement, and more.

Fraud Detection One-Class Classification

Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model

no code implementations • 16 Jan 2020 • Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Laszlo Nadai

Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate.

BIG-bench Machine Learning