The Faculty of Mathematics and Natural Sciences: Search
Now showing items 81-90 of 124
Contextualizing and interpreting biological data with pathway knowledge and network algorithms
(2023-02-07)
Elucidating the mechanisms which give rise to unique biological functions is a major goal of human biology. Vast quantities of biological data that have been amassed can aid us in understanding these mechanisms, such as ...
Towards Practical Real-time Reflectance Estimation
(2023-02-22)
Virtual experiences are becoming increasingly popular, primarily due to tremendous progress in Virtual Reality (VR) and Augmented Reality (AR) technologies improving immersion and making related devices more affordable. ...
Visual Prototyping of Knitwear
(2023-07-25)
In this thesis, we address the problem of prediction and editing of the virtual appearance of knitted cloth. Among the most accurate approaches to model fabrics and other complex materials is to represent them in terms of ...
Temporal Action Segmentation: Weak Supervision and Efficiency
(2023-08-24)
Action segmentation deals with the temporal understanding of actions that occur in an untrimmed video. The output of action segmentation is an action label for each frame of the input video. This task has recently received ...
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs
(2023-11-03)
Knowledge Graphs (KGs) have become a fundamental approach to represent structured data and are employed in academic and industrial applications.
KGs are used in various machine learning applications, such as question ...
Deconstructing and Approaching Heterogeneities in the Biomedical Field via Computational Modeling
(2022-12-06)
Natural variation between human characteristics as well as differences across collected datasets in disparate medical or research centers on various levels (e.g., semantical and technical) lead to high heterogeneity in ...
Quantitative and intuitive liver tumor treatment with multi-constrained planning and holographic augmented reality
(2022-12-15)
In recent years, thermal ablation has become a widely accepted minimal invasive treatment for liver tumor patients. However, surgical planning and performing are still challenging tasks in two aspects: on one hand, surgical ...
Scalable 3D Reconstruction for Immersive Virtual Reality Applications
(2022-12-19)
The recent advances in Augmented Reality (AR) and Virtual Reality (VR) technology and their growing popularity in the past years has significantly influenced emerging trends towards more intuitive and user-centric applications ......
Robust and Interpretable Visual Perception Using Deep Neural Networks
(2023-01-11)
Autonomous vehicles promise to revolutionize the transportation of people and goods by increasing road safety, reducing resource consumption, and improving quality of life. To achieve an unrestricted and large-scale ......
Time Filter Assisted Deep Learning to Predict Air Pollution
(2023-07-13)
Exposure to ground-level ozone harms human health as well as the entire ecosystem, so accurate prediction of ozone exposure is of particular importance. Machine learning (ML), and deep learning (DL) in particular, has ...