3 papers
cs.SE2025
GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback
Mohamed Abdelaal, Samuel Lokadjaja, Gilbert Engert
This paper introduces GLLM, an innovative tool that leverages Large Language Models (LLMs) to automatically generate G-code from natural language instructions for Computer Numerica…
cs.DB2025
DataLens: ML-Oriented Interactive Tabular Data Quality Dashboard
Mohamed Abdelaal, Samuel Lokadjaja, Arne Kreuz +1
Maintaining high data quality is crucial for reliable data analysis and machine learning (ML). However, existing data quality management tools often lack automation, interactivity,…
cs.LG2025
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection
Kanishk Chaturvedi, Johannes Gasthuber, Mohamed Abdelaal
This paper introduces EdgeMLOps, a framework leveraging Cumulocity IoT and thin-edge.io for deploying and managing machine learning models on resource-constrained edge devices. We…