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Radio-based localization in dynamic environments, such as urban and vehicular settings, requires systems that efficiently adapt to varying signal conditions and environmental changes. Factors like multipath interference and obstructions introduce different levels of complexity that affect the accuracy of the localization. Although generalized models offer broad applicability, they often struggle t
This paper advances scholarship on deliberate destabilisation for sustainability transitions. To understand how deliberate destabilisation plays out in practice, the politics of such processes must be confronted. To this end, we bridge research on the political economy of sustainability transitions with recent theorisations of the deliberate destabilisation of unsustainable socio-technical regimes
Managing energy in urban areas is complex due to the diversity of energy users, dynamic environmental conditions, and the increased instability caused by extreme weather events. This work explains the impacts of a new technology based on implanting adaptive reinforcement learning (ARL) into energy management (EM), which is called ARLEM. The technology uses an online, value-based, model-free ARL en
Detecting travel modes from global navigation satellite system (GNSS) trajectories is essential for understanding individual travel behavior and a prerequisite for achieving sustainable transport systems. While studies have acknowledged the benefits of incorporating geospatial context information into travel mode detection models, few have summarized context modeling approaches and analyzed the si
The decarbonisation of existing building stocks increasingly depends on renovation, with one-stop shops (OSS) emerging as prominent delivery models designed to reduce complexity and accelerate uptake. However, prevailing renovation strategies remain dominated by performance-oriented paradigms that prioritise modelled energy performance targets and efficiency ratios, understood in energy use per un
In this paper, we propose the design of a roof-glass integrated microstrip antenna for vehicular SDARS tuners. The proposed microstrip antenna is sandwiched inside a multi-layer roof glass and uses a solar-heat reduction coating on the bottom side of the glass as ground plane. To offset the effect of the lossy glass, parasitic elements are added to enhance the antenna gain. Simulation results show
In this paper, we present three studies in which we develop and test different representations of intonation contours and prosodic stress with the aim to provide foreign language learners with a notation that they can easily interpret. Study I addresses learners’ productions of target intonation based on six common notation systems. The results reveal how learners themselves make sense of the diff
Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by diverse presentations and a strong genetic component. Environmental factors, such as prematurity, have also been linked to increased liability for ASD, though the interaction between genetic predisposition and prematurity remains unclear. This study aims to investigate the impact of genetic liability and
Inom den teoretiska filosofin så finns det ett antal klassiska texter och argument som de flesta förr eller senare kommer i kontakt med. En av dessa texter är den uppsats med titeln Time som John McTaggart Ellis McTaggart fick publicerad 1908. Uppsatsen är ett försök att övertyga läsaren om tidens beskaffenhet, för att senare konstatera att det är självmotsägande att påstå att någonting skulle h
Regional researchers have extensively debated contradictions of identity-based regionalism and politically initiated regionalisation. Works addressing the spatial imaginaries of state-led regional institutionalisation processes have since emerged. Sometimes neglected, however, is theoretical attention to what I suggest are acts of counter-institutionalisation: attempts to destabilise dominant regi
The project developed a structured workflow for 3D scanning and documentation of artworks. This workflow covers every step from initial image capture to the final 3D model, ensuring consistency and quality in how artworks are digitized. It was presented to students as part of a course, giving them hands-on experience with 3D scanning equipment and photogrammetry software. Through practical exercis
A search for the lepton-flavor violating decays Bs0→φμ±τ is presented, using a sample of proton-proton collisions at center-of-mass energies of 7, 8, and 13 TeV, collected with the LHCb detector and corresponding to a total integrated luminosity of 9 fb-1. The τ leptons are selected using decays with three charged pions. No significant excess is observed, and an upper limit on the branching fracti
Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro
Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely applied in robotics with movement primitives or non-differentiable policies. Furthermore, these approaches are particularly relevant where exploration at the action level could cause actuator damage or other safety issues. H
