Publikasjoner
- Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT
- Developing Multi-Agent LLM Applications Through Continuous Human-LLM Co-Programming
- Positioning LLM-Enabled Agents as Legal Compliance Aides for Data Pipelines
- Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency Les publikasjonen
- Detecting Technical Debt in Source Code Changes Using Large Language Models
- 3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications Les publikasjonen
- Combining Insights from Multiple Tools to Manage Technical Debt in Industrial C# Projects
- LUMEN: Enhancing IoT System Observability with Multi-Agent Large Language Models and Knowledge Graphs Les publikasjonen
- FedMAC: Federated Multi-Algorithm Clustering for Autonomic Systems Les publikasjonen
- Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things