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Doctoral project: Enhancing MLOps architectures for efficient integration, deployment and inference of AI Models in diverse industrial settings This project focuses on advancing MLOps architectures to…
Doctoral project: Document Classification and Entity Extraction Many aspects of accounting present difficulties in achieving full automation due to the abundance of unstructured information, such as…
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…
Project: Transforming the Kosovo and Albanian Education System by Introducing DigItal Technology in Teacher Education (IGNITE) An EU project that will analyse the learning path of IT related subjects…
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…
Project: Recasting best practices of European universities (RAPID) RAPID aims to strengthen online education in Pakistan by replicating the best practices in distance learning during pandemic at…
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…
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…
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.
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)…
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…
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…
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…
Project: Edutain The projects aim at incorporating emergent technologies such as Augmented Reality (AR) in schools to achieve sustainable learning experience. Also, this project will enable…
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…
Doctoral project: Realising smarter organization by developing Digital Twin of the Organization A Digital Twin of an Organization (DTO) as a software component proposes a live model of an…
Doctoral project: Digital Twin as a Service (DTaaS) This doctoral project targets to work on Digital Twin, with integration to data intensive sources.
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…