Search results
Results 37-51 of 51
-
New research aims at improving the selection of Internet services for service consumers News
-
The SciChallenge project will be presented at an information meeting about Horizon 2020 News
-
Seed project: Using Artificial Intelligence to Detect Acanthamoeba Keratitis in the eye - the AIDAK study Applicants The overall objective of the research for this seed project within Linnaeus…
- Jonas Lundberg Associate professor
- +46 470-70 89 67
- jonaslundberglnuse
- Welf Löwe Professor
- +46 470-70 84 95
- +46 76-760 36 62
- welflowelnuse
- Daniel Toll Lecturer
- +46 480-49 77 09
- danieltolllnuse
- Anna Wingkvist Research advisor
- +46 470-70 89 93
- annawingkvistlnuse
-
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…
-
Project: Software Technology for Self-Adaptive Systems The purpose of this project is to increase the engineering efficiency of self-adaptive systems. The development, maintenance and operation of…
-
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…
-
Doctoral project: Digital twin developments within Volvo CE This doctoral project relates to develop a so-called digital twin platform. The aim is to understand customers' problems and support them…
-
Doctoral project: Machine Learning in Manufacturing Many manufacturing companies struggle with transitioning into the era of smart technologies, due to the fact that modern lab-grown methods and data…
-
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…
-
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: 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)…