This project aims to develop the methodology for controlling the cast shadow of an object, by computing the internal structure of the object, and using novel manufacturing techniques like 3D printing to realize it.
The goal of the thesis is to explore the applicability of deep learning and semantic technologies to enable a higher degree of automation for data integration in real national and European industrial/research projects.
In industry, data often has to be mapped from one format to another in order to integrate different data sets for example such as for analytics and decision making purposes.
Combining images and relevant, useful information from various data sources to increase usefulness of images for insight and analysis.
The overall project aims to reduce CO2 emission from dumpers working on road construction projects by improving the coordination between dumpers and excavators.
Patient pathways and patient journeys are important concept within healthcare, and are used by professionals with different backgrounds. The master topic will 1) develop a data format for patient journeys based on the CJML language and 2) explore...
This thesis will look into a novel software architectures for container-centric big data workflow orchestration systems that will take into account data locality information by default, and explore the use of software containers in this context.
Data science MSc topics related to intelligent data preparation and support for data pipelines.
The aim of this thesis project is two-fold: (a) reduce implementation costs of building digital system models using deep learning and semantic technologies, and (b) ensure digital systems models enable domain experts (e.g., engineers and researchers...
We will investigate the way to model and monitor the entire DevOps systems, including the team, the environments, the processes and the final products, using the digital twin concept.
Capturing high quality, realistic 3D models of humans is an active area of research in the computer vision and machine learning communities. It has broad applications in many areas like virtual and augmented reality.
This topic concerns the design and development of data enrichment solutions with the goal of evaluating the effectiveness and limitations of current solutions, analyzing technical requirements, and, especially, evaluating the effectiveness of the...
In SFI NorwAI we are leading a work package on hybrid AI where the aim is to combine machine learning and physical knowledge in order to obtain models that are relevant for industry. We have two use cases with industrial partners on predictive...
The main goal of the thesis is to build an “Innovation Knowledge Graph” by joining several independent streaming data-sources constituting the main phases of the innovation lifecycle. The aim is to interconnect, model and understand the relevant...
Data science MSc topics related to intelligent data preparation and support for data pipelines.
The aim of this thesis is to study the applicability of Knowledge Graphs in the area of (network) neuroscience for modeling and analyzing how the brain works.
The thesis aims to build upon the existing prototype (see screenshot of the current UI above) and explore various techniques and tools for combining knowledge graphs representations of Digital Twins with real-time and analytics aspects, focusing on...
This MSc thesis aims at developing a multi-label video classifier for underwater inspection videos
The overall project aims to improve human working conditions and reduce environmental and economic cost across the wholesale warehouse value chain by developing analytic and learning based algorithms for internal warehouse optimization problems.
This MSc thesis aims at developing an approach based on an existing modern Digital Twin (DT) combines the simulation of the physical twin and the continuous collection of real-time data from the physical twin for real-time monitoring of the systems...
Design and develop a self-learning algorithm that can leverage first-person video streams and eye tracking to learn to perform human tasks by observation.
Digitalisering og økt mulighet for fjernstyring fører til at industrielle IKT-systemer (OT-systemer) så som prosesskontrollsystem og sikkerhetssystem i større grad må ta hensyn til cyber-angrep. Ved vurdering av IKT-sikkerhet i OT-systemer kan det...
This MSc thesis aims at conducting a systematic review on the approaches (state of the art, SotA) for the Business Continuity of Critical Infrastructures.
This MSc thesis aims at developing an approach for enabling access control of AI/ML applications on Edge to data sources and how the ML/AI-processed data can be shared with different stakeholders as a service.
Developing and evaluating a software application for the Customer Journey Modelling Language.
This topic concerns the design and development of solutions to transform specifications of data enrichment pipelines into executable pipelines.
How to make a husky sledding tour in Beitostølen available to everyone? How to design technology enabling people with visual impairments to experience a dog sledge ride across a frozen lake bathed in silvery moonlight?
In this thesis, you will explore approaches for exploiting manual input from the citizens to improve data curation.
In the future, the seas will largely be sailed by fully or partially autonomous vessels. To minimize emissions of harmful pollutants (CO2, NOx, etc), vessel should perform as few manoeuvres as possible. One important input to calculating the optimal...
Did you know that developing a drug or a vaccine (which really is a type of drug) takes on the average 13 years and costs up to 3.5 billion US$? And that about 99% of the projects will never make it to the market? And that there are still cases that...
The goal in this thesis is to develop a recommender system to suggest transformations with respect to characteristics of the data set, historical actions users have performed in the past, etc.
In this thesis, you will investigate Machine Learning approaches to improve the curation of structured (SQL databases) and/or semi-structured data sources (e.g., JSON and CSV).
In this thesis, you will explore Machine Learning approaches possibly in combination with heuristic and rule-based approaches for linking entities between data sources.
In this thesis, you are expected to develop a visual query formulation tool for geospatial (i.e., location oriented) data for aiding domain experts to extract data of interest from the data sources encoded in RDF (a data model used for exchanging...
In this thesis, you are expected to develop a visual query formulation tool for temporal data for aiding domain experts to extract data of interest from the data sources encoded in RDF (a data model used for exchanging data on the Web).
