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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: 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: 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: 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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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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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: 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…
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Project: Sustainable use of virgin and recovered raw material streams for innovative bio-based products and business stimulation in Southern Sweden This project aims at increasing resource use…
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Project: QualityWBPs – Innovative treatments and adhesives for high quality, sustainable wood-based panels This project aims to develop less hygroscopic wood-based panels through the application of…
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Linnaeus University Centre for Data Intensive Sciences and Applications The DISA research centre at Linnaeus University focuses its efforts on open questions in collection, analysis and utilization of…
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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.