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Your search for "2025" yielded 25166 hits

Riktlinjer-om-fordelning-av-beslutsbefogenheter-inom-universitetsforvaltningen-vid-lunds-universitet

FÖRSÄTTSSIDA STYRDOKUMENT Riktlinjer om fördelning av beslutsbefogenheter inom universitetsförvaltningen vid Lunds universitet Typ av styrdokument: Riktlinjer Definition av typen av styrdokument: Riktlinjer fastställer hur någon ska eller bör handla inom det område riktlinjerna omfattar. En ska regel ska följas medan en bör regel mer har karaktären av en starkrekommendation som innebär att man und

https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/2025-04/riktlinjer-om-fordelning-av-beslutsbefogenheter-inom-universitetsforvaltningen-vid-lunds-universitet.pdf - 2026-05-30

Ll ksmb32 150909

LL_KSMB32_150909 Litteraturlista för Redovisning och ekonomistyrning i serviceverksamheter, 15 hp (KSMB32) Fastställd av styrelsen för institutionen för service management och tjänstevetenskap 2015- 09-09. Litteraturlistan börjar gälla 2015-10-01. Ax, Christian, Johansson, Christer & Kullvén, Håkan. (2015). Den nya ekonomistyrningen. Malmö: Liber. [prel 547 sidor. ISBN 9789147110957] Ax, Christian

https://www.ses.lu.se/sites/ses.lu.se/files/ll_ksmb32_150909.pdf - 2026-05-30

Shear force capacity of cross laminated timber beams : Numerical investigations of fracture behaviour

This paper deals with numerical investigations of cross laminated timber (CLT) beams. Previous investigations have revealed discrepancies between experimental test results and suggested design methods regarding shear force capacity of such beams. To gain further understanding of the failure behaviour and the shear force capacity, nonlinear finite element analyses have been performed, using a cohes

Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets

The availability of high-quality datasets is crucial for developing behavior prediction algorithms in autonomous vehicles. This paper highlights the need to standardize the use of certain datasets for motion forecasting research to simplify comparative analysis and proposes a set of tools and practices to achieve this. Drawing on extensive experience and a comprehensive review of current literatur

Membership Inference Attack in Random Forests

Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo

Gendered Perception of Gamified Safety Training in Manufacturing : Insights from a Pre-test Study

Gamification is an increasingly popular topic in manufacturing research, since it can enhance workers’ engagement and reduce their errors. Manufacturing is a traditionally male-dominated industry, however females face greater risks compared to their male counterparts, and the number of highly skilled female workers is increasing. This contribution presents the results from the pre-test of a gamifi

High-Speed Accelerometry of Atomizing Sprays using the FRAME concept

Capturing fast transient spray phenomena, such as droplet breakup and secondary atomization, requires both high temporal and spatial resolution over extended durations, which is difficult to achieve with existing imaging methods. Burst imaging on one hand offers ultra-high frame rates but for short windows in time, while conventional high-speed cameras extend duration but are currently unable to t

A metaheuristic approach for mission assignment and task offloading in Open RAN-enabled intelligent transport systems

We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr