The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...

This paper investigates multifactor authentication algorithm which will influence the development of resilient MFA authentication to effectively protect against MFA fatigue attacks. An enhanced MFA ...

Welcome to issues! Issues are used to track todos, bugs, feature requests, and more. As issues are created, they’ll appear here in a searchable and filterable list. To get started, you should create ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Logistic Regression is a fundamental machine learning algorithm used for binary classification tasks. In the context of lung cancer prediction, Logistic Regression analyzes the relationship between ...

Machine learning models analyze complex patterns within medical datasets, enabling precise prediction and classification of diseases like CHD [14]- [18]. This study explores the application of three ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.