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Project: Predicting the water vapor sorption of wood with machine learning methods The water vapor sorption behavior of wood is a fundamental property that affects nearly all of its properties such as…
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Project: Radioactivity – NORM contamination of LNG fuel systems In this project, we study if liquefied natural gas (LNG) fuel systems are contaminated by natural occurring radioactive material (NORM).…
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Project: Application of new biorefinery lignin-based adhesives in the wood panel industry The project envisages a mobility of professor Stergios Adamopoulos (20 % work time) from Linnaeus University…
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Project: Formaldehyde emissions from wood composites bonded with bio-based adhesives Formaldehyde based adhesives dominate the market and are used almost exclusively for wood panel production. The use…
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Project: Development of an innovative centrifugal condensation scrubber The project is aiming to optimize and demonstrate a techno-economic solution to efficiently reduce particulate matter emission,…
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Project: Improving the competitive advantage of CLT-based building systems through engineering design and reduced carbon footprint The objective of this project is to increase the competitiveness of…
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Project: Renewable hydrophobing agents for fibreboards based on tall oil The project aims at preparing and testing 100 % renewable formulations that are based on tall oil for effective…
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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: 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: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
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Seed project: Data-intensive tools for effective carbon mitigation in forestry The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Seed project: Exploring data and establishing routines for collaboration on energy experiments The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences…
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Project: ForestValue Hardwood joint - Innovative joints in hardwoods The overall project objective is to foster high-performance hardwood structures in the European building sector by developing…
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Project: Housing and residential development for increased growth (Boost) The Boost project has its starting point in building and living with glass and wood construction. The aim is to develop and…
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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: Strength grading of structural timber and glued laminated timber by laser scanning and three-dimensional structural modeling This project aims in particular at development of an accurate…
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Project: Local fibre orientation in Norway spruce timber and its significance for the timber's properties This project aims at increased knowledge of fibre orientation in the close surroundings 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…