<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects on</title><link>https://jsphere.de/projects/</link><description>Recent content in Projects on</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 03 Jun 2025 09:00:00 +0100</lastBuildDate><atom:link href="https://jsphere.de/projects/index.xml" rel="self" type="application/rss+xml"/><item><title>Numerical Information Field Theory for Acoustic Monitoring (Poster)</title><link>https://jsphere.de/projects/06_haicon_poster_ift/</link><pubDate>Tue, 03 Jun 2025 09:00:00 +0100</pubDate><guid>https://jsphere.de/projects/06_haicon_poster_ift/</guid><description>HAICON25 poster: applying Bayesian Information Field Theory to denoise sperm-whale click recordings and quantify uncertainty in passive acoustic monitoring.</description></item><item><title>ScrAIbe-WebUI: Browser-Based Transcription for Research Teams</title><link>https://jsphere.de/projects/01_scraibe-webui/</link><pubDate>Mon, 10 Feb 2025 09:00:00 +0100</pubDate><guid>https://jsphere.de/projects/01_scraibe-webui/</guid><description>A Gradio-based, Docker-first web interface for running ScrAIbe transcription and diarisation workflows from the browser.</description></item><item><title>ScrAIbe: Research-Grade Transcription &amp; Diarisation</title><link>https://jsphere.de/projects/02_scraibe/</link><pubDate>Wed, 15 Jan 2025 10:00:00 +0100</pubDate><guid>https://jsphere.de/projects/02_scraibe/</guid><description>An open-source ASR toolkit combining Whisper, Pyannote diarisation, language identification, and flexible interfaces for real-world research audio.</description></item><item><title>Master’s Thesis: Machine Learning Optimization of Gaussian Basis Sets</title><link>https://jsphere.de/projects/05_masters-thesis/</link><pubDate>Thu, 01 Sep 2022 00:00:00 +0200</pubDate><guid>https://jsphere.de/projects/05_masters-thesis/</guid><description>Using differentiable optimisation to improve Gaussian basis sets for ab initio DFT, with a focus on compact basis families and accuracy trade-offs.</description></item><item><title>Bachelor’s Thesis: EEG-Based Assessment of Consciousness</title><link>https://jsphere.de/projects/04_bachelors-thesis/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0200</pubDate><guid>https://jsphere.de/projects/04_bachelors-thesis/</guid><description>Investigating whether EEG-derived markers can track consciousness in propofol-sedated endoscopy patients in real time.</description></item></channel></rss>