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Smarter Systems We want to build systems that are a little smarter, that is, systems that make decisions independently and adjust to become a little better at solving their tasks. Our research and…
Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…
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: 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: 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: 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: 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…
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…
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…
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…
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…
Seed project: Biosensor Testbed at the IoT Lab The objective of this project is to explore the potential applications of biosensors for the continuous monitoring and management of various health…