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Seed project:Automated Assembly/Disassembly Instructions (ADDITION) The project aims at building a consortium interested in laying the foundation for harnessing the power of AI and digitalization for…
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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: Using Natural Language Models for Extracting Drug-Related Problems (NLMED) The overall goal of the research in this seed project within the Linnaeus University Center for Data Intensive…
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Seed project: Using Artificial Intelligence to Detect Acanthamoeba Keratitis in the eye - the AIDAK study Applicants The overall objective of the research for this seed project within Linnaeus…
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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: Towards a data-driven approach to ground-fault location The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is…
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Seed project: Smart-Troubleshooting in the Connected Society 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: 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: 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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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: 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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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: Digitized ancient remains detection The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to explore if…
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Seed project: Development of an intelligent wearable – the DIWAH study The overall goal of the research in this seeding project within the Linnaeus University Center for Data Intensive Sciences and…
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Seed project: Developing the Skeleton Avatar camera Technique (SAT) as a rapid, valid and sensitive measurement of mobility in elderly persons The main objective for this seed project within Linnaeus…
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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: Data intensive analysis for identification and prediction of risk medications The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and…