News

Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms Supervised machine learning is often used to detect phishing websites. However, the scarcity ...
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 ...
In offline data-driven multiobjective optimization, no new data are available during the optimization process. Approximation models, also known as surrogates, are built using the provided offline data ...
The computer used something called machine learning [emphasis mine] to analyse and reproduce technical and aesthetic elements in Rembrandt’s works, including lighting, colour, brush-strokes and ...
A comprehensive collection of Data Structures implementations in Java, including arrays, linked lists, stacks, queues, trees, graphs, and sorting algorithms. This repository serves as both a learning ...
Algorithms implemented in the Data Structures and Algorithm Complexity discipline.
The Pima County Board of Supervisors approved the sale of a 290-acre parcel of land on the far southeast side for a multi-billion-dollar data center complex.