Visual encoding techniques, graphical displays, and interactive visual analytics for understanding complex datasets and processes.
How we replaced sessionStorage flow_id tokens and consent banners with stateless document.referrer telemetry and 1st-order Markov visitor flows.
How we engineered a deterministic 2D elliptical bin-packing layout engine in TypeScript that shapes interactive DOM tag clouds with zero layout shift.
Datengestützte Content-Optimierung im Zeitalter von KI-Suchmaschinen: Warum isolierte Web-Analytics versagen, wie unser nativer Model Context Protocol (MCP) Server Google Search Console und Plausible deterministisch zusammenführt, und wie Coding-Agenten Seiten vollautomatisch auditieren.
Technische Schaubilder ohne Client-Overhead: Warum clientseitiges Mermaid das Web verlangsamt, wie unsere Build-Time-Pipeline mit Puppeteer und Astro Remark funktioniert, und wie maschinenlesbare Topologien modernen KI-Suchmaschinen (GEO/AIO) den Weg weisen.
Compare WebGL, Three.js, Cytoscape.js, and Vis.js for interactive network graph visualizations in JavaScript. Benchmark performance and layouts.
Now, that zumida has emerged into a mature platform, it is time to present the first public video. See zumida in action, from registration to content creation a...
Mentawise is an innovative knowledge management solution letting visual thinkers quickly build personal knowledge graphs and share them instantly with others.
A Python toolkit designed to optimize factory layout planning (FLP) and job shop scheduling (JSS) through advanced layout modeling and simulation.
High-performance industrial analytics and visualization suite for high-frequency welding process data, featuring custom timeseries rendering, arc cyclograms, and density distributions.
Explore the portfolio's content and semantic connections as an interactive 3D volumetric graph powered by WebGL and Three.js, featuring orbital camera controls and spatial clustering.
Analyze semantic connections across publications, projects, and topics using Cytoscape.js and Compound Spring-Embedder (CoSE) layout physics directly in the browser.
Inspect interconnected topics and content nodes through a crisp, vector-based force simulation powered by D3.js and velocity Verlet numerical integration.
Navigate large-scale semantic networks with high-performance WebGL rendering and multi-threaded ForceAtlas2 physics offloaded to background web workers.
Interact with dynamic topic clusters and relational data through tactile drag-and-drop physics and spring-mass damping powered by Vis.js.
