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Seed project: A platform to collect and analyze canoe/kayak training data The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)…
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Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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Seed project: Detecting ’signs of learning’ in six-year-olds’ meaning making about science through digital tools The main objective for this seed project within the Knowledge environment Digital…
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Seed project: ODXVR x NTS The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to submit an external funding application.…
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Seed project: User performance data from a video-based application/platform The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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Workshop: Higher Education in Digital Humanities and Social Sciences, Reykjavik 2024 This workshop is part of the annual conference Digital Humanities in the Nordic and Baltic countries (DHNB). It…
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Project: Thermo-Reversible Starch-based Adhesives for Wood Panels (Tresa) The Tresa project pursues a novel approach to develop reversible, bio-based starch adhesive systems for applications in wood…
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Project: STEM education on equal terms This project faces the challenge of giving pupils – independent of gender, social background or ethnicity – the possibility to participate in and utilize STEM…
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Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
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Waves, Signals and Systems The research in waves, signals and systems deals primarily with acoustic and electromagnetic direct and inverse problems, with engineering and industrial applications.
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Designing for Innovation and Learning (DIL) The Designing for Innovation and Learning research group does interdisciplinary research in the field of digital transformation within various domains.
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Astroparticle Physics The subjects of the Astroparticle Physics research group include hardware activities, data analysis and interpretation of results in the field of Very-High-Energy extra-galactic…
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Project: Novel starch-based adhesive systems to enable recycling of fibreboards This project aims to develop and validate starch-based adhesives for recyclable fibreboards, both at the laboratory at…
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Project: Smart storage solutions in the fridge of the future to reduce food waste About one third of the food production in the world is thrown away, which is one of the largest single sources of…
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Project: Drone measurement for the intelligent forest We are to develop a system for collection of forestry information with drones that fly in the forest below the canopy. Based on video recording,…
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Project: Utilisation of renewable biomass and waste materials for production of environmental-friendly, bio-based composites The aim of this project is the development and testing of…