Search results

The fast development of generative artificial intelligence (“AI”) services—such as ChatGPT, Midjourney, Dall-E—have within a short period of time gained immense uptake and popularity. At the same time, such services have given rise to fundamental challenges from a copyright perspective. Court proceedings have been initiated in many jurisdictions on the compatibility of such services with copyright

The cosmogenic radionuclide 36Cl is a valuable tracer for studying Earth system processes, solar variability and geomagnetic field changes. These applications rely on a comprehensive understanding of 36Cl transport and deposition processes, which are still poorly studied. In this study, we apply a state-of-the-art climate model ECHAM6.3-HAM2.3 to investigate the source distribution and deposition

Isoprene is a reactive hydrocarbon emitted to the atmosphere in large quantities by terrestrial vegetation. Annual total isoprene emissions exceed 300 Tg a−1, but emission rates vary widely among plant species and are sensitive to meteorological and environmental conditions including temperature, sunlight, and soil moisture. Due to its high reactivity, isoprene has a large impact on air quality an

Few-shot segmentation (FSS) tackles data scarcity using multiple priors, but its simplicity limits handling base and novel classes with limited data access. Generalized few-shot semantic segmentation (GFSS) enhances model performance for base classes with abundant data, while novel classes have limited data access, improving generalization with scarce data. Building on the design of query-based se

The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation pro

In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound field is a linear function of the measurements, allowing the field to be estimated efficiently from distributed microphone measurements. However, to ensure analytical tractability, most existing kernels for sound field estim

Freshwater demand is expected to rise while supplies decline, putting pressure on water systems. Water conservation and determining potential alternative sources is imperative. The thesis aims to determine the effectiveness of greywater recycling as an alternative source in Sweden. Sörsjön was used as a case study and the roles of property owners and water utilities explored. The theory of planned

During the Swedish NATO negotiations, the Turkish president Recep Tayyip Erdoğan once again raised the question of whether Türkiye could be welcomed into the EU. This thesis examines Türkiye’s shortcomings concerning their EU accession, focusing on the human rights of Kurdish people by answering the research questions: what is the state of human rights of the Kurd-ish people in Türkiye, and what c

Virtual 3D reconstructions of live sport events are on the horizon and to produce a high quality experience for viewers it is important that the movements of the 3D models look natural. Today, state of the art pose estimators produce data that con-tains noise, resulting in jittery animations with pose errors. The goals for this thesis were to evaluate the performance of a Long Short-Term Memory (L

The impact of age and 24-h ambulatory blood pressure (ABPM) on arterial stiffness and carotid intima-media thickness (cIMT) in ischemic stroke patients younger than 60 years of age is poorly explored. A total of 385 acute ischemic stroke patients (aged 49.6±9.7 years, 68% men) were prospectively included and grouped in younger (15–44 years, n = 93) and middle-aged (45–60 years, n = 292). Arterial

For diagnosis and risk assessment in patients with stable ischemic heart disease, myocardial perfusion scintigraphy is one of the most common cardiological examinations performed today. There are however many motivations for why an artificial intelligence algorithm would provide useful input to this task. For example to reduce the subjectiveness and save time for the nuclear medicine physicians wo

To improve the accuracy of indoor positioning systems it can be useful to combine different types of sensor data. This paper describes deep learning methods both for estimating absolute positions and for performing pedestrian dead reckoning, and then how to combine the resulting estimates using weighted least squares optimization. The positioning model is based on a custom neural network which use

BACKGROUND: To outline how the training program and work situation of residents in Obstetrics and Gynecology (OB-GYN) was affected by the pandemic and to illuminate how residents experienced these changes.METHODS: As part of the COVID-19 in Pregnancy and Early Childhood Staff (COPE Staff) cohort study, between January and May 2021, all participating residents were invited to answer a 28-question o

In this paper, we present a framework for doing localization from distance measurements, given an estimate of the local motion. We show how we can register the local motion of a receiver, to a global coordinate system, using trilateration of given distance measurements from the receivers to senders in known positions. We describe how many different motion models can be formulated within the same t

The significance of systemic chemotherapy (SCT) combined with hepatic arterial infusion (HAI) chemotherapy in the treatment of pancreatic ductal adenocarcinoma with liver metastases (PACLM) remains unclear. Based on previous studies, this single-center propensity score matching (PSM) study aimed to explore the efficacy of SCT with or without HAI for PACLM.