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Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network

Today, the advances in airborne LIDAR technology provide high-resolution datasets that allow specialists to detect archaeological features hidden under wooded areas more efficiently. Still, the complexity and large scale of these datasets require automated analysis. In this respect, artificial intelligence (AI)-based analysis has recently created an alternative approach for interpreting remote sen

Probabilistic analysis of the impact of climate change on creep of concrete structures in Sweden

Recent studies suggest that concrete creep may be further exacerbated by climate change. However, up to now this effect has not been quantified in literature. The current study addresses this gap and presents a probabilistic approach for quantitatively assessing this effect. For this purpose, five different stochastic creep models (i.e. Model Code 1999, Model Code 2010, B3, B4, and B4s models) are

Movers and Stayers : A Study of Emigration from Sweden 1993–2014

A standard proposition in the migration literature is that emigrants are not drawn randomly from their source population, but rather compose a self-selected group in terms of labour market characteristics. Such self-selection refers to observed characteristics, such as education, or occupation, as well as unobserved characteristics such as cognitive abilities. However, due to data limitations, mos

The sensitive nature of facial recognition : Tensions between the Swedish police and regulatory authorities

Emerging technologies with artificial intelligence (AI) and machine learning are laying the foundation for surveillance capabilities of a magnitude never seen before. This article focuses on facial recognition, now rapidly introduced in many police authorities around the world, with expectations of enhanced security but also subject to concerns related to privacy. The article examined a recent cas

An interrupted time series analysis of gambling behavior based on gambling operator revenue-based taxation during the COVID-19 pandemic in Sweden

Objectives: The impact of COVID-19 on gambling behavior and the gambling industry itself has been widely speculated. Prior studies have shown how boredom, social isolation, poor mental health, and financial hardships, all of which have been associated with COVID-19, can aggravate problem gambling behaviors in patients with gambling disorders while also luring newcomers. Few studies have used metho