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Din sökning på "2024" gav 23985 sökträffar

Anders Vilhelmsson

Associate professor Contact details Email: anders [dot] vilhelmsson [at] nek [dot] lu [dot] se Phone: +46 46 222 46 48Organisation Department of Economics Room number: 4051 Alfa Service point: 10 WebpageAnders Vilhelmssons profile in Lund University research portalOther affiliations Project manager Department of Economics Publications Displaying of publications. Sorted by year, then title. Filter

https://www.lusem.lu.se/anders-vilhelmsson - 2026-05-31

Josefine Östrup Backe

Senior lecturer Contact details Email: josefine [dot] ostrup_backe [at] ses [dot] lu [dot] seOrganisation Department of Service Studies WebpageJosefine Östrup Backes profile in Lund University research portalOther affiliations Researcher Department of Service StudiesResearch profileI am a PhD in service studies. I hold a Masters' degree in Business Administration with tourism as a special field, f

https://www.ses.lu.se/en/josefine-ostrup-backe - 2026-05-31

Bertrand Chavarria Aldrete

Teaching staff Contact details Email: bertrand [dot] chavarria_aldrete [at] mhm [dot] lu [dot] seOrganisation Teachers (Malmö Academy of Music) WebpageBertrand Chavarria Aldretes profile in Lund University research portalBertrand Chavarria-Aldrete (Lyon, 1978) is an artist with various working methods that have their origin in sound, based on musical interpretation as a creative criticism, moving

https://www.mhm.lu.se/en/bertrand-chavarria-aldrete - 2026-05-31

Degree requirement

All learning outcomes must be fulfilled for the doctoral degree to be granted. Knowledge and understanding For the Degree of Doctor the third cycle student shall demonstrate broad knowledge and systematic understanding of the research field as well as advanced and up-to-date specialised knowledge in a limited area of this field,and demonstrate familiarity with research methodology in general and t

https://www.intramed.lu.se/en/phd-studies/admission-examination/doctoral-degree/public-defence/degree-requirement - 2026-05-31

How Networks Work

27 May 2025 09:30 to 15:30 | Conference Fika-to fika workshop by Lund University Profile Area Natural and Artificial Cognition. Networks are ubiquitous in both nature and technology, spanning scales from the microscopic to the macroscopic. Examples include metabolic and gene expression networks within cells, neural and vascular networks, traffic and social networks, and electric power distribution

https://www.staff.lu.se/calendar/how-networks-work - 2026-06-01

FuseRank (Demo) : Filtered Vector Search in Multimodal Structured Data

We describe and demonstrate our work on multimodal filtered vector search in tabular data. It offers a practical way for businesses to vectorize their product assortments or any other business-critical data and then simultaneously retrieve and filter this information using state-of-the-art similarity search. Our methodology is based on the extended vector space model, with multiple modalities repr

Observation of ᴧb0→ ᴧc+(*)0K and ᴧb0→ ᴧc+ Ds*− decays

The decays Λb0→Λc +D¯(∗)0K- and Λb0→Λc+Ds∗- are observed for the first time, in proton-proton collision data at s=13TeV, corresponding to an integrated luminosity of 5.4fb-1 collected with the LHCb detector. Their ratios of branching fractions with respect to the Λb 0→Λc +Ds - mode are measured to be (Formula presented.) where the first uncertainties are statistical, the second systematic, and the

Ambulance Travel Time Estimation using Spatiotemporal Data

Ambulance travel time estimations play a pivotal role in ensuring timely and efficient emergency medical care by predicting the duration for an ambulance to reach a specific location. Overlooking factors such as local traffic situations, day of the week, hour of the day, or the weather may create a risk of inaccurately estimating the ambulance travel times, which might lead to delayed emergency re

GCC-PHAT Re-Imagined - A U-Net Filter for Audio TDOA Peak-Selection

Time-difference-of-arrival (TDOA) estimation from GCC-PHAT is not always as straight forward as finding the maximum peak. This work views the GCC output as an image, with time on the vertical axis and TDOA horizontally, to explore if image-to-image machine learning methods can make a more robust filter. The Structure from Sound Database provides audio recorded with a distributed microphone setup a

Prompt and nonprompt ψ(2S) production in pPb collisions at sNN = 8.16 TeV

The production of ψ(2S) mesons in proton-lead collisions at a centre-of-mass energy per nucleon pair of sNN = 8.16 TeV is studied with the LHCb detector using data corresponding to an integrated luminosity of 34 nb−1. The prompt and nonprompt ψ(2S) production cross-sections and the ratio of the ψ(2S) to J/ψ cross-section are measured as a function of the meson transverse momentum and rapidity in t

Tracking of charged particles with nanosecond lifetimes at LHCb

A method is presented to reconstruct charged particles with lifetimes between 10ps and 10ns, which considers a combination of their decay products and the partial tracks created by the initial charged particle. Using the Ξ- baryon as a benchmark, the method is demonstrated with simulated events and proton-proton collision data at s=13TeV, corresponding to an integrated luminosity of 2.0fb-1 collec

Effect of Unbalanced Cells in Lithium-ion Battery Pack Performance and SOC Estimation

This paper mainly focuses on the effect of cell unbalancing on the overall performance of a battery pack, as well as the challenges associated with designing a protection system for the Battery Management System (BMS). With the increasing trend towards fully electric aircraft, cars, buses, bikes, etc., the battery pack has become the sole power source for these vehicles. Consequently, it's imperat

SONNET : Enhancing Time Delay Estimation by Leveraging Simulated Audio

Time delay estimation or Time-Difference-Of-Arrival estimates is a critical component for multiple localization applications such as multilateration, direction of arrival, and self-calibration. The task is to estimate the time difference between a signal arriving at two different sensors. For the audio sensor modality, most current systems are based on classical methods such as the Generalized Cro

A retrospective on the robot air hockey challenge : benchmarking robust, reliable, and safe learning techniques for real-world robotics

Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combining machine learning technology with robotics, robot learning remains one of the most promising directions for enhancing the capabilities of robots. When deploying learning-based approaches on real rob