Filetype
Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac
In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and d
Traditional control systems face challenges in managing high data loads and computing power, prompting the evolution of Cloud Control Systems (CCS)-a fusion of Networked Control Systems (NCS) and cloud computing. Despite offering manifold advantages, CCS encounters hurdles in navigating the dynamic cloud environment characterized by fluctuating workloads, rendering static frequency settings ineffi
With the dynamic nature of modern software development and operations environments and the increasing complexity of cloud-based software systems, traditional monitoring practices are often insufficient to timely identify and handle unexpected operational failures. To address these challenges, this paper presents the findings from a quantitative industry survey focused on the application of Machine
Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system
We explore vibe coding as a rapid prototyping approach powered by generative AI. We discuss how it lowers the barrier to creating high-fidelity prototypes, enabling nontechnical users to build apps, and examine its implications for communication, validation, and iterative software design.
Understanding 3D human interactions is fundamental for fine-grained scene analysis and behavioural modeling. However, most of the existing models predict incorrect, lifeless 3D estimates, that miss the subtle human contact aspects–the essence of the event–and are of little use for detailed behavioral understanding. This paper addresses such issues with several contributions: (1) we introduce model
Parkinson's disease (PD) is characterized by a set of motor symptoms that depend on nigrostriatal dopaminergic degeneration and respond well to pharmacological dopamine replacement using L-DOPA. However, replacing dopamine with either L-DOPA or dopamine receptor agonists leads to the appearance of motor and nonmotor complications within a few years. Strong emphasis is currently placed on developin
The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys
The reasons why some individuals who experience trauma develop post-traumatic stress disorder (PTSD) while others do not remain poorly understood, highlighting the complex interplay of encoding-related and intrapersonal factors. This study aimed to examine factors predicting variability in trauma-related symptom development. Using a trauma-film paradigm in a healthy sample (N = 32), we investigate
Two-view homography estimation is a classic and fundamental problem in computer vision. While conceptually simple, the problem quickly becomes challenging when multiple planes are visible in the image pair. Even with correct matches, each individual plane (homography) might have a very low number of inliers when comparing to the set of all correspondences. In practice, this requires a large number
Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The
Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-performance algorithms, such as Deep Neural Networks (DNNs). However, there is a tradeoff between the algorithms' performance and the low-power requir
The Gullåkra wetland is located around 5 km south of the modern city of Lund and around 2.7 km east of the important Iron Age settlement of Uppåkra in Scania, southern Sweden. In the 1840s, a remarkable discovery was made in the wetland: a bronze lur dated to c. 1300 BCE, along with a boat and the bones of a large animal offering. As Bronze Age boats are exceedingly rare, this discovery makes the
In this paper we present methods for triangulation of infinite cylinders from image line silhouettes. We show numerically that linear estimation of a general quadric surface is inherently a badly posed problem. Instead we propose to constrain the conic section to a circle, and give algebraic constraints on the dual conic, that models this manifold. Using these constraints we derive a fast minimal
QUIC is a UDP-based transport layer protocol developed by Google that boasts lower latency performance than TCP. However, different conclusions have been reported regarding its performance due to variations in targeted applications and experimental setups. This leads to our conclusion that protocol performance evaluation should be heavily dependent on the QoS requirements of the target application
Hur gick dina tankar när du valde audionomprogrammet? – Jag hade tidigare läst lingvistik och fonetik. Jag började då att intressera mig för hörseln och audionomprogrammet kändes därför rätt för mig.Varför blev det Lunds universitet? – Jag bodde i Lund, men jag tyckte även att det lockande att Lunds universitet har ett magisterprogram i audiologi så att jag kunde läsa vidare efter kandidatprogramm
https://www.lu.se/lubas/i-uoh-lu-vgaud/karolina-lowgren - 2025-12-21
Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat
The arthropod exoskeleton consists of a chitin–protein meshwork that is reinforced by incorporated minerals, such as in decapod crustaceans. Such naturally biomineralized cuticle forms the bulk of arthropod bodily remains in the rock record. However, the extent to which this organic–inorganic composite material is transformed during the fossilization process remains incompletely understood. We exa
When a target is masked by mainlobe clutter with the same Doppler frequency, it is difficult for conventional airborne radars to determine whether a target is present in a given observation using regular space-time adaptive processing techniques. Different from phased-array and multiple-input multiple-output (MIMO) arrays, frequency diverse arrays (FDAs) employ frequency offsets across the array e
