Search results

https://www.psy.lu.se/evenemang/panelsamtal-om-volontararbete-under-samhallskriser - 2026-05-27

https://www.ch.lu.se/evenemang/panelsamtal-om-volontararbete-under-samhallskriser - 2026-05-27

A sports video analysis application was developed by Spiideo for mobile devices. It presents recordings from practices and competitive games for game-play analysis. Available tools, such as on-screen drawings, require a robust background foreground segmentation. The currently used segmentation method have difficulties to master the shifting conditions in weather, shadows and shirt colors. The pu

In this paper, the effect hosting a mega sports event has on economic growth and the inflow of foreign direct investment is investigated over the period 1970 – 2016. This paper differentiates between six different mega sports events. Furthermore, it also investigates whether hosting mega sports events in developing countries has a different impact on economic growth and the inflow of foreign direc

Fully precise static analysis of program behavior is undecidable in theory and infeasible in practice. While individual static analyses can prove specialized invariants about program behavior or resolve narrow ambiguities, real programs are complex composites of many different abstractions and programming patterns. State-of-the-art approaches to program analysis thus generally rely on composite an

Many software language tools use declarative domain-specific languages (DDSLs) to implement parts of their functionality, such as context-free grammars for parsing or inference rules for type analysis. For interoperability and ease of use, DDSLs often rely on embedded general-purpose language (GPL) code fragments, as in the semantic actions of parser specifications, but require that these GPL frag

Objective. This study aimed to investigate the potential of contrastive learning to improve auditory attention decoding (AAD) using electroencephalography (EEG) data in challenging cocktail-party scenarios with competing speech and background noise. Approach. Three different models were implemented for comparison: a baseline linear model (LM), a non-LM without contrastive learning (NLM), and a no

Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly focused on Supervised Learning (SL) techniques to tackle this problem. However, obtaining high-quality labeled data that accurately represents muscle activity during daily usage remains difficult. We investigate th

Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding

In the last column, we promised to return to one of the inevitable challenges that vibe coding leaves us with. At the AI Engineer World’s Fair 2025, OpenAI’s Sean Grove claimed that whoever writes the specification is now the programmer since AI can take it from there. Sounds amazing, but what gets lost along the way? To explore this, I’m joined by Jan-Philipp Steghöfer, a researcher at XITASO and

This paper gives an overview of the approach of working methods at the Aedas R&D Computational Design and Research [CDR] Group. It first contextualizes research in architectural practice and tries to propose an explanation for the difficulties in implementing it; then explains the evolution of the groups' computing approach from bespoke to heuristic sets of lightweight applications. It conclud

Two-view estimation is a fundamental problem in 3D computer vision, and an important sub-task of multi-view estimation pipelines such as Structure-from-Motion (SfM) and Simultaneous Localization and Mapping (SLAM). In recent years, the main focus in the field has been on keypoint-based methods, where interest points are first detected and matched across the two images, followed by robust estimatio

Understanding and effectively managing Technical Debt (TD) remains a vital challenge in software engineering. While many studies on code-level TD have been published, few illustrate the business impact of low-quality source code. In this study, we combine two publicly available datasets to study the association between code quality on the one hand, and defect count and implementation time on the o

Linear quadratic (LQ) control optimizes a quadratic cost function while following a linear model. It is commercially available in the process industry but often not labeled as such and infrequently used. Froth flotation is a process in the minerals industry that extracts precious metals from a slurry of finely ground rock in consecutive tanks called cells. Flotation cells are often arranged in two

JavaDL ArtifactJavaDL is a language and toolchain for analyzing Java at the source level. JavaDL is based on MetaDL, a variant of Datalog that adds syntactic pattern matching, here specialized to pattern matching on Java.

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for preoperative lymph node metastasis prediction. Mammograms and clinicopathological data from 1265 cN0 T1-T2 breast cancer patients (primary surge

Cyber-physical systems (CPSs) are often complex and safety-critical, making it both challenging and crucial to ensure that the system's specifications are met. Simulation-based falsification is a practical testing technique for increasing confidence in a CPS's correctness, as it only requires that the system be simulated. Reducing the number of computationally intensive simulations needed for fals

Study region: Lake Vänern, the largest lake in the European Union, located in Sweden. Study focus: The study aimed to develop a spatially complete and temporally continuous lake surface water temperature (LSWT) dataset by fusing satellite remote sensing data with reanalysis products. Five satellite-derived LSWT products, including the Moderate Resolution Imaging Spectroradiometer (MODIS), were eva

Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, most AI-based prognostics and health management in the automotive industry ignore textual descriptions of the experienced problems or symptoms. With this study, however, we propose an ML-assisted workflow for automotive fault nowcasting that improves on current indu

Software development is a complex activity that needs a lot of tool assistance. Over the years there has been a lot of effort put into development of automated assistance to help with activities such as detection of issues via program analysis, or refactoring of code. Recently, the landscape of developer tool assistance is being disrupted with the entry of AI tools, such as Copilot and ChatGPT, po