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Project: Climate-driven power management in Crossways The purpose of the feasibility study is to investigate how we can best meet the energy and climate challenges that lie ahead. We need to balance a…
High-Performance Computing Center (HPCC) The High-Performance Computing Center (HPCC) offers computational and storage resources to help researchers to solve big computing and big data problems.…
VRxAR Labs The VRxAR Labs research group is exploring interface design for Mixed Reality environments, such as Virtual and Augmented Reality.
Project: Provably Secure Self-Protecting Systems (PROSSES) The PROSSES project will result in techniques and tools to create a protecting layer for software systems against attacks from the Internet.
Project: Next Generation of Trustworthy Agri-Data Management - EnTrust EnTrust brings together 16 leading research institutions and enterprise from 5 different countries across Europe to establish a…
Project: DIGRIS -implementation challenges of digitalisation rights in Sweden The project is grounded in the European Union (EU)'s digital strategy, with the aim of investigating how small and…
Doctoral project: RUL prediction based on historical battery cycle logs This project aims to create a workflow with diverse machine learning algorithms to simulate battery remaining useful life (RUL)…
Project: Tree volume measurement by AI The project is a collaboration between Sweden and Brazil with the goal to improve forest inventory efficiency in both Swedish and Brazilian forestry through a…
Project: Climate neutral Växjö, Alvesta 2030 In 2020, Växjö municipality signed a climate contract that is on the way to a climate-neutral society with a good life for everyone by 2030. Now, together…
Seed project: Analyzing state-of-the-practice for self-adaptive systems in industry using data analytics The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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: 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: 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: 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: 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: 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…
Doctoral project: Ecosystems and smart cities Cities face major climate challenges. In my research, I investigate how digital transformation and ecosystems contribute to increased collaboration…
Project: IoT lab for SME 2.0 The aim of this project is to develop a well-established network of companies in the Linnaeus region that can benefit from each other's expertise and products within…