Abstract: Online alignment of harmonic conversion crystal in high-power laser facilities is a challenging and labor-intensive task. An automated technique for self-alignment of crystals on these ...

Abstract: This paper explores the detection and localization of cyber-attacks on time-series measurements data in power systems, focusing on comparing conventional machine learning (ML) like k-means, ...

This project implements an end-to-end stock data pipeline that fetches stock data from an external API, processes and transforms it using Python, stores it in a MySQL database, exposes the data ...