• Statusrapport 2024. Nasjonalt referanselaboratorium for luftkvalitetsmålinger 

  Marsteen, Leif; Johnsrud, Mona (NILU rapport;, Research report, 2024)

  Denne rapporten oppsummerer oppgavene til Nasjonalt referanselaboratorium for luftkvalitetsmålinger (NRL), delkontrakt 1b, for første halvår 2024.

• Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning 

  Chatterjee, Ayan (Peer reviewed; Journal article, 2025)

  Personalized approaches are required for stroke management due to the variability in symptoms, triggers, and patient characteristics. An innovative stroke recommendation system that integrates automatic predictive analysis ...

• Cyclic volatile methyl siloxanes in the terrestrial and aquatic environment at remote Arctic sites 

  Nipen, Maja; Hartz, William Frederik; Schulze, Dorothea; Christensen, Guttorm; Løge, Oda Siebke; Nikiforov, Vladimir; Bohlin-Nizzetto, Pernilla (NILU report;3/2025, Research report, 2025)

  Cyclic volatile methyl siloxanes (cVMS) are widely used chemicals with high emissions to the atmosphere due to their volatility. They are found in the Arctic atmosphere, indicating potential for long-range transport. This ...

• Critical Insights into Untargeted GC-HRMS Analysis: Exploring Volatile Organic Compounds in Italian Ambient Air 

  Cerasa, Marina; Balducci, Catia; Moneta, Benedetta Giannelli; Santoro, Serena; Perilli, Mattia; Nikiforov, Vladimir (Peer reviewed; Journal article, 2025)

  This study critically examines the workflow for untargeted analysis of volatile organic compounds (VOCs) in ambient air, from sampling strategies to data interpretation by using GC-HRMS. While untargeted approaches are ...

• Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning 

  Chatterjee, Ayan; Gopalakrishnan, Sundar; Mondal, Ayan (Peer reviewed; Journal article, 2025)

  Intrusion Detection Systems (IDS) are critical in safeguarding network infrastructures against malicious attacks. Traditional IDSs often struggle with knowledge representation, real-time detection, and accuracy, especially ...

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