IEEE

Maximum Likelihood Identification of an Ornstein-Uhlenbeck Model and Its CRLB

Abstract: This paper applies Maximum Likelihood Estimation (MLE) to the identification of a stochastic error model of a gyroscope. The error model used for ...
TMCnet

Your AI Portfolio: Mercor Showcases Projects that Convert Marketplace Views into Successful Hires

A standout AI portfolio is indispensable for attracting freelance opportunities in today''s competitive market. A ...
Big Rigs

New phase of regulatory guidance with Master Code’s release

The heavy vehicle industry in Australia entered a new phase of regulatory guidance with the release of the Draft Master Code of Practice in August 2025. This draft represents a significant evolution ...
GitHub

AI Code Generation Prompts Examples (Python)

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...
IEEE

Maximum Likelihood Method for Received Signal Strength-Based Source Localization

Abstract: In this correspondence, we develop an algorithm for maximum likelihood (ML) source localization using received signal strength (RSS) measurements. Unlike the conventional methods that resort ...
GitHub

Syqlorix: Build Hyper-Minimal Web Pages in Pure Python

Syqlorix is a high-performance, hyper-minimalist hybrid web framework for Python. It combines a pure Python DSL with a Rust-powered core for maximum speed, secure Starlark-based components, and an ...