Search results

Results 1-18 of 61

List

Date (descending)

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…
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: 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: 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…
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…
Doctoral project: Supporting Synchronous Asymmetric Data Exploration using Virtual Reality within the context of Collaborative Immersive Analytics Immersive technologies, such as virtual reality,…
Project: Innovation link for IT and industry in Kronoberg Innovation link is a collaborative project for increased innovation among small and medium-sized companies within IT and industry in Kronoberg…
Project: Science4Girls This project intends to design and implement learning activities withing the theme of climate change that encourage girls to enroll in science, technology, engineering, and…
Project: Digital competence and cutting-edge competence in Kronoberg This is a collaborative project with the intention of analyzing the need for digital competence and cutting-edge competence among…
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…
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…
Doctoral project: Efficient detection of changes in software evolution and their operationalization for software maintenance This project aims at understanding and using changes detected in software…