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Manufacturing companies play an important role in ensuring more sustainable consumption and production patterns. The circular economy (CE) proposes a pathway for decoupling economic growth from environmental impacts, providing a fruitful route for more sustainable consumption and production. The CE...

Federated learning (FL) relies on the frequent exchange of model parameters between clients and the aggregator to achieve efficient model convergence. However, network latency presents a significant challenge, particularly in congested edge/IoT scenarios, hindering the efficiency and effectiveness...

Risk assessment is a well-established process and is often used to assess the risk of systems in several application domains, e.g., maritime, nuclear power, and aerospace. However, the results from a risk assessment represent a snapshot of the risk picture for the system at a given time and, for...

The transition towards a circular economy in the food sector is crucial to meet society’s sustainability challenges. One promising approach is upcycling of food loss and waste sidestreams (FLWS) which can be converted into raw materials for another cycle. This paper focuses on the circular supply...

We present a novel formalism to both understand and construct mixers that preserve a given subspace. The method connects and utilizes the stabilizer formalism that is used in error correcting codes. This can be useful in the setting when the quantum approximate optimization algorithm (QAOA), a...

Underwater exploration and related research face significant challenges, including incomplete data collections and the high cost of operations. An underwater robot's capacity to independently identify, target, and address gaps in 3D surface data, termed as ‘holes’, during a mission has the potential...

Learning cardiac morphology largely involves spatial abilities and studies indicate benefits from innovative 3D visualization technologies that speed up and increase the learning output. Studies comparing these teaching tools and their educational output are rare and few studies include complex...

Background In community settings, relatives often provide care to their older family members, which is sometimes perceived as a high burden, overwhelming and stressful, contributing to an increased risk of elder abuse. In most countries, relatives have no legal obligation to provide care when family...

Hensikt: Undersøke potensialet rundt video som dokumentasjonsmetode innen fysioterapi for barn og ungdom, og identifisere fasilitatorer og barrierer for bruk og implementering. Design: Studien fulgte fysioterapeuter fordelt på seks samarbeidslokasjoner i privat-, kommunal- og...

A new equation of state (EoS) is presented for solid argon. The EoS is based on the quasi-harmonic approximation and formulated in terms of the Helmholtz energy, with temperature and molar volume as independent variables. To ensure high accuracy over a wide range of pressures, the static energy is...

Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have improved anomaly detection but lack interpretability. We propose an explainable anomaly detection (XAD) framework...