This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

In addition, EFS is a simple greedy algorithm which can provide an optimal feature combination. This approach enables the extraction of fewer key clinical variables from optimized candidate pools. The ...

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool: ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

The inhabitants of Carthage were long thought to have derived from Levantine Phoenicians. But an eight-year study suggests they were more closely related to Greeks. By Franz Lidz The Phoenicians were ...

A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...