Abstract: In this work, a genetic algorithm, implemented in the Python programming language, is developed to model a DCDC buck converter in discrete-time. The modeling is performed and validated using ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

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.

In a giant feat of genetic engineering, scientists have created bacteria that make proteins in a radically different way than all natural species do. By Carl Zimmer At the heart of all life is a code.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...

Abstract: To address the issue of optimizing investment strategies for systematic investment plans (SIPs), a novel approach is proposed where the investment satisfaction of a variable SIP (the ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...