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Log Anomaly Detection of Structured Logs in a Distributed Cloud System

Matematik: Topologi

Matematik: Introduktion till algebraisk topologi

Matematisk statistik: Linjär och logistisk regression

Assist external users in logging into Canvas

https://www.education.lu.se/en/digital-tools/canvas/help-external-users-to-log-in - 2026-06-03

Master thesis presentation: Generative AI for Anomaly Diagnosis in 5G NR Scheduling Logs

https://www.eit.lth.se/en/calendar/master-thesis-presentation-generative-ai-anomaly-diagnosis-5g-nr-scheduling-logs-0 - 2026-06-03

Master thesis presentation: Generative AI for Anomaly Diagnosis in 5G NR Scheduling Logs

https://www.eit.lth.se/en/calendar/master-thesis-presentation-generative-ai-anomaly-diagnosis-5g-nr-scheduling-logs - 2026-06-03

Log in to QPS and email notifications

https://www.qps.education.lu.se/en/students/guides-students/log-qps-and-email-notifications - 2026-06-03

Log-concave Observers

Towards Automated Log Message Embeddings for Anomaly Detection

Automated Log Message Embeddings

Evaluation of wire-line well logs from the borehole Kyrkheddinge-4 by comparison to measured core data

Populärvetenskaplig sammanfattning: Utvärdering av borrhålsloggar. Syftet med detta examensarbete var att göra en utvärdering av wireline borrhålsloggar från borrhålet Kyrkheddinge-4, 3 km öster om Staffanstorp i Skåne. Den undersökta delen av borrhålet Kyrkheddinge-4 befinner sig inom den potentiella reservoarsandstenen, Lundasandstenen. Wireline borrhålsloggar är geofysiska verktyg som används

Flowing fluid electrical conductivity logging of a deep borehole during and following drilling: estimation of transmissivity, water salinity and hydraulic head of conductive zones

Enhancing a Log-analyzer with GraphRAG

Semi-automated Correlation of Silurian Well-Logs Across Gotland, Sweden, Using Dynamic Time Warping With Barycenter Averaging

Economic consequences of accidents to hands and forearms by log splitters and circular saws: Cost of illness study

What keystroke-logging can reveal about writing

Remote sensing methods for detecting deforestation and illegal logging in Bosnia and Herzegovina

Automatic Log Based Anomaly Detection in Cloud Operations using Machine Learning

ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds