GitHub

Remaining Useful Life (RUL) prediction of rolling element bearings using vibration signal analysis, feature engineering, FFT-based features, and machine learning models (Random ...

This project predicts the Remaining Useful Life (RUL) of industrial bearings using vibration signal analysis and machine learning. Unlike common bearing fault detection projects that use artificially ...
note

Empirical Cost Analysis of Sub-Dollar Digital Payments: Comparing Legacy Fee Architectures with Byte-Denominated Simplified Payment Verification

Today, May 28th, I will explain Dr. Craig's paper, which was published as a peer-reviewed article in the ScienceDirect academic journal, titled Empirical Cost Analysis of Sub-Dollar Digital Payments: ...
IEEE

Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection

Abstract: Modern software relies on a multitude of automated testing and quality assurance tools to prevent errors, bugs and potential vulnerabilities. This study sets out to provide a head-to-head, ...
IEEE

Intelligent Dynamic Code Analysis using Large Language Models

Abstract: This paper presents an AI-driven approach to enhance dynamic code analysis by leveraging Large Language Models (LLMs), such as Falcon 40 B and Code Llama. The proposed framework continuously ...
GitHub

Byte Buddy

In order to use Byte Buddy, one does not require an understanding of Java byte code or the class file format. In contrast, Byte Buddy’s API aims for code that is concise and easy to understand for ...