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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…
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…
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…
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…
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…
Seed project: The strategic competence management process, AI based solutions and the entrepreneurial mindset The main objective for this seed project within Linnaeus Knowledge Environment Digital…
Seed project: The paradox of over empowerment: Does patient empowerment have its limits? The main objective for this seed project within Linnaeus Knowledge Environment Digital Transformations is to…
Seed project: The interplay of big data and AI to monitor and manage the tourism destinations’ sustainability (TERESA) The main objective for this seed project within Linnaeus Knowledge Environment…
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…
Seed project: Programming social robots - a tool for learning in the multilingual primary school The aim is to contribute to teachers' capacity to work with programming social robots in classrooms…
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.…
Seed project: Nerves segmentation and dendritic cells detection in IVCM images – DCN Automatic segmentation of nerves and detection of dendritic cells to provide accurate density measurements, aiding…
Seed project: Mitigating Health Inequalities in the Kronoberg Region - A Transdisciplinary System Thinking Approach The main objective for this seed project within the Knowledge environment Digital…
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…
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…
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…
Seed project: Interactive video training tool and training scenario development for Emergency Medical Services The main objective for this seed project within Linnaeus Knowledge Environment Digital…
Seed project: Implementation knowledge as comissioned training - A step towards the national investment in Lifelong Learning The overall aim of this seed project within Knowledge Environment Linnaeus…