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Noise can be cleverly classified using a cheap computer News
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E-health Linnaeus University works with research, evaluation, collaboration and education within e-health. Read more about our master’s programme, courses, ongoing research projects and…
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Doctoral project: Exploring AI driven operation for forecasting in data-light environments: The multishop concept The advent of big data and AI brought new possibilities to businesses. In this…
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Project: Digitalisation in forestry A paradigm shift is taking place in forestry, with new opportunities for the forest industry to use satellite data, laser scanning, drones and handling of data from…
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Project: Climate neutral Växjö 2030 This project is a research collaboration with Växjö municipality for achieving a climate neutral Växjö in 2030 and how digital technologies can support this goal…
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Project: Roadmaps for AI Integration in the Rail Sector (RAILS) The overall objective of the RAILS research project is to investigate the potential of artificial intelligence (AI) approaches in the…
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Project: Digital acceleration for medium size sustainable cities (DIACCESS) The aim of the project is to solve real societal challenges by combining municipal administrations and municipal companies…
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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…
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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…
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Project: VCardiac - A Novel Framework for Contactless Detection and Forecasting of Early Stages of Heart Diseases and Cardiac Arrest Conditions VCardiac is a new framework that utilises acoustic heart…
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Project: Aligning Architectures for Digital Twin of the Organization (Aladino) This project aims at establishing a set of sound engineering methodologies, methods and tools for modeling, evaluating,…
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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: SAT - Movement Analysis – developing a prototype for an AI-trained tool, to evaluate movement quality In this cross-disciplinary project, we want to explore and learn from the…
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Third-cycle (doctoral) programme in computer and information science Curious to do research in the subject of computer and information science? We offer opportunities for research for both doctoral…
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Doctoral project: Visual analytics for explainable and trustworthy machine learning This doctoral project aims to develop foundational principles, techniques, and tools for visual analytics, for…
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Doctoral project: Multivariate network embedding for visual analytics This doctoral project aims to explore the use of embedding technologies for visual and computational analytics on large…
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Doctoral project: Efficient detection of changes in software evolution and their operationalization for software maintenance This project aimed at understanding and using changes detected in software…
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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…