AZoM

Why Automating the Hegman Gauge Test is Outperforming Manual Methods in Consistency and Speed

Discover how automated Hegman gauges deliver superior consistency and faster results compared to manual methods.
GitHub

GitHub - kumar9253/hackingBuddyGPT: Helping Ethical Hackers use LLMs in 50 Lines of Code or less..

Through using our infrastructure, this already uses configurable LLM-connections (e.g., for testing OpenAI or locally run LLMs), logs trace data to a local sqlite database for each run, implements a ...
IEEE

Change Detection in SAR Images Using Hypothesis Testing and Shannon Entropy Based on the Rayleigh Distribution

Abstract: This article presents a change detection algorithm based on Shannon entropy and the Rayleigh distribution for both single-look and multilook synthetic aperture radar (SAR) images. While ...
C&EN

A Pipette-Tip-Based Point-of-Care Test Platform for Detection of MicroRNA at Subfemtomolar Concentrations Using Upconverting Nanoparticles on Microbeads

Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia ARC Centre of Excellence in Quantum Biotechnology (QUBIC), ...
IEEE

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test

Abstract: Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...