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Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
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Project: Forest 4.0 The objective of the Forest 4.0 project is to establish a Centre of Excellence (CoE) to transform the forest environment monitoring, data acquisition, and analysis. The aim is to…
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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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Project: Digitalisation in forestry A paradigm shift is taking place in forestry, with new opportunities for the forest industry to use satellite data, laser scanning, drones and handling of data from…