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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: 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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New research helps visually monitor and control machine learning processes News
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New revolutionary technology to discover problems in industrial production News
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Increased growth potential for companies in the Linnaeus region through new project using artificial intelligence and high-performance computer programs News
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Doctoral project: Reuse of health data, combing the best of two worlds A method for automatic generation of features with high predictive power based on domain knowledge.
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Professor Mikko Laitinen new member of Finnish Academy of Science and Letters News
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Doctoral project: Big Data Exploitation for Insight into Electrolux Professional Products Lifecycle Management This doctoral project aims to use Big Data to map the life cycle of professional products…
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Linnaeus University granted becoming a European innovation hub News
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Doctoral project: Advanced identification methods for the forest industry through CV/AI The project intends to create opportunities for continued digitalisation in the forest industry. This concerns…
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Strengthen your company’s development journey with an externally-employed doctoral student in AI/Computer/IT News
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Cutting-edge research centre on big data and AI granted continued funding News
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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…
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Doctoral project: Digital Twin as a Service (DTaaS) This doctoral project targets to work on Digital Twin, with integration to data intensive sources.
- Yuli Liang Senior lecturer
- +46 470-70 83 45
- yulilianglnuse
- Johan Fransson Professor
- +46 470-76 70 42
- +46 70-660 86 97
- johanfranssonlnuse