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 probability that ...

Studies have shown that deep neural networks (DNNs) are susceptible to adversarial attacks, which can cause misclassification. The adversarial attack problem can be regarded as an optimization problem ...

What's different in this new paradigm, says Jayanti, is that the physics of relativity, first proposed by Albert Einstein, comes into play. Its unusual, and often counterintuitive, effects that ...

Our expert team has rigorously tested hundreds of active noise-cancelling headphones over the years. We assess everything from battery life and all-day comfort to design, features, audio quality ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

open-source machine-learning programming optimization genetic-algorithm python-library math-library evolutionary-algorithm trigonometric-functions numerical-computation computational-intelligence ...

This project aims to maximize path length in a grid by fitting pentominoes and selecting start and end positions, always choosing the shortest path. Three approaches have been explored so far: brute ...