Abstract: Present work proposes a predictive localization outcome when compared to Swarm Artificial Neural Network (SANN), Spatio-Temporal Neural Genetic Algorithm (STNGA) and Linear Ridge Radial ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Ziba Parsons, Ang Li Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms Mayank Raj, Nathaniel D. Bastian, Lance Fiondella, Gokhan Kul Adversarial observations in ...

Abstract: Ensuring predefined-time convergence, strong robustness, and global adaptability is of great significance for improving the control performance and operation reliability of tiltrotor ...

vector-graphics-samples - SVG and Vector Graphics Sample Project UniScript - Brings C# scripting into Unity which acts as native code Colors.cs - Trying to set Colours from code but need something ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

The GTM and k-GTM algorithms are implemented in GTMapTool (URLs). We used the Jaccard similarity matrix of FDR-significant pathways as input for the algorithm, where each pathway is encoded by a ...