Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Abstract: Space-air-ground integrated networks (SAGINs) are emerging as a fundamental architecture for 6G systems to enable massive connectivity, novel applications, extreme data rates, ultra-low ...

ABSTRACT: The rapid advancement of autonomous agentic systems (AAS) has revolutionized critical sectors such as healthcare, finance, defense, and cybersecurity. However, their integration into these ...

This project is a comprehensive malware detection system developed as part of a semester project. It combines machine learning with web technologies to provide safe, static analysis of executable ...

Is the gaming world ready for a device that could blur the lines between consoles and PCs? In a recent video, tech enthusiast and gaming analyst Alex from TechScope breaks down Valve’s ambitious new ...

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.

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...