Anne Petersson-Jungbeck
https://www.sljus.lu.se/anne-petersson-jungbeck - 2026-10-05
Filtyp
https://www.sljus.lu.se/anne-petersson-jungbeck - 2026-10-05
Background: Allergic contact dermatitis (ACD) and photoallergic contact dermatitis (PACD) to benzophenone present in printing ink have been reported. However, precise chemical analyses and extended photo-patch tests have not been performed in these cases. Objectives: To determine which components present in a magazine cover are responsible for a patient's skin reaction, to determine the primary se
Letter of invitation in order to obtain visa to Sweden 2 Letter of invitation in order to obtain visa to Sweden The Department of XXXX at Lund University in Sweden hereby invites den sökandes fullständiga namn (enligt pass) den sökandes födelsedatum den sökandes passnummer XXXX (namn) is going to be visiting Sweden (for less than 90 days) in order to varför . Beskriv besöket, vad vederbörande ska
https://www.ai.lu.se/tomas-bjorklund - 2026-10-05
https://www.ai.lu.se/rafsan-ahmed - 2026-10-05
https://www.ai.lu.se/daniel-sjoberg - 2026-10-05
https://www.ai.lu.se/johan-marklund - 2026-10-05
https://www.fysik.lu.se/en/petra-andersson - 2026-10-05
https://www.fysik.lu.se/en/alfons-eriksson - 2026-10-05
https://www.soch.lu.se/en/hans-sward - 2026-10-05
Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely on RGB-D sensors or require a separate monocular SLAM approach for camera tracking, and fail to produce high-fidelity 3D dense reconstructions. To address these shortcomings, we present NICER-SLAM, a dense RGB SLAM system
This paper describes a search procedure to discover optimal feature sets for dependency parsers. The search applies to the shift–reduce algorithm and the feature sets are extracted from the parser configuration. The initial feature is limited to the first word in the input queue. Then, the procedure uses a set of rules founded on the assumption that topological neighbors of significant features in
Vehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and realistic assessment of V2V communication systems. We present a novel geometry-based stochastic MIMO channel model with support for frequencies in the band of 5.2-6.2 G