Erik Johannes Husom
SINTEF(NO)SINTEF Digital
Publications by Year
Research Areas
Anomaly Detection Techniques and Applications, IoT and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Big Data and Business Intelligence, Data Stream Mining Techniques
Most-Cited Works
- → A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing(2023)51 cited
- → Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline(2023)40 cited
- → Taming Data Quality in AI-Enabled Industrial Internet of Things(2022)24 cited
- → ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback(2024)16 cited
- → Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency(2025)13 cited
- → UDAVA(2022)11 cited
- → Uncertainty-Aware Virtual Sensors for Cyber-Physical Systems(2023)10 cited
- → Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning(2024)9 cited
- → Replay-Driven Continual Learning for the Industrial Internet of Things(2023)8 cited
- → On The Reliability Of Machine Learning Applications In Manufacturing Environments(2021)8 cited