<p>Accurate left ventricular (LV) linear measurements are critical for cardiac function assessment in echocardiography. However, manual measurements are time-consuming and prone to variability due to anatomical complexity and operator dependency. While deep learning (DL) models have automated landmark detection, existing fully automated B-mode approaches often produce inaccurate predictions caused ...

<p>Healthcare-associated infections are of grave concern in healthcare facilities as these acquired infections pose a significant threat to the quality of life across the globe. Healthcare-associated infections are often related to the use of medical devices like catheters, joint prostheses, and implants. Medical devices are especially prone to bacterial growth, which can result in possible ...

<p>Arctic sea ice (ASI) is a critical component of the Earth’s climate system, serving as both a regulator of energy exchange and a sensitive indicator of climate change. Over recent decades, ASI has experienced a dramatic decline in both extent and thickness, driven by rising global temperatures and amplified by Arctic feedback mechanisms. This decline is a key driver of Arctic amplification, a ...

Cyber-Physical systems (CPS) deployed in scarce-resource environments like the Arctic Tundra for in-situ and long-term observation face extreme conditions. Nodes deployed on the field are under a limited energy budget. To save energy and increase their lifetimes, nodes are forced to alternate between short uptime periods and long sleeping periods. Uptime schedules depend notably on observation tasks ...

<p>Ultrasound and photoacoustic microscopy hold great promise for deep tissue imaging with high resolution, offering different applications in biological research. The primary aim of this thesis is to perform correlative photoacoustic and ultrasound microscopy experiments on various biological samples. <p>This thesis discusses multiple imaging modes, including A-scan, B-scan, and C-scan, each ...

Sea-spray icing poses a significant risk to maritime operations in Arctic and sub-Arctic regions, threatening the stability, safety, and efficiency of vessels and offshore structures. Current icing estimation models are constrained by limited data and are often tailored to specific vessels or structures. A critical challenge lies in accurately estimating spray flux, which is the amount of water ...

<p>"Without prejudice to" is a term frequently used in EU technology regulations. Regulation 2024/1689 (The Artificial Intelligence (AI) Act) is "without prejudice to" the General Data Protection Regulation (GDPR), and recent cybersecurity regulations such as the Network and Information Security (NIS) 2 Directive and the Cyber Resilience Act (CRA) are without prejudice to both the GDPR and the AI ...

With the introduction of autonomous and remotely-controlled ships, close vessel encounter can be associated with higher risk of collision or near-miss scenarios. To avoid these possible incidents, a higher level of situation awareness is required to support the respective decision-making process in maritime navigation. Advanced Ship Predictors (ASPs) are thus proposed to be a solution framework to ...

Deep Learning in modern Artificial Intelligence (AI) has witnessed unprecedented success on a variety of domains over the past decade, ranging from computer vision to natural language reasoning tasks. This success is owed primarily to the availability of large, annotated datasets, the existence of powerful mathematical models, and the mechanism to train large models on such data with advanced resources ...

<p><i>Research questions</i> The primary objective of this doctoral dissertation is an explorative investigation into the social network dynamics within eight high schools, located in Tromsø and Balsfjord (North Norway), and the extent to which these dynamics contribute to the overall health and well-being of the students, such as in the context of infectious disease spread and the transmission of ...