Fakultäten der Universität Bonn: Suche
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Spatio-Temporal Registration Techniques for Agricultural Robots
(2021-06-16)
A critical challenge that we face today is to meet the rising demand for food, feed, fiber, and fuel from an ever-growing world population. We must meet this demand within the limited arable land available to us and do so ...
Pattern Recognition in Intracranial EEG Signals and Prediction of Memory
(2021-03-12)
This thesis presents a method for pattern recognition in neurocognitive data, in particular intracranial electroencephalographic (iEEG) data. The approach aims to reveal mechanisms underlying cognitive processes. This means ...
Efficient Distributed In-Memory Processing of RDF Datasets
(2020-10-27)
Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic ...
Deep Learning Methods for Semantic Parsing and Question Answering over Knowledge Graphs
(2022-05-20)
Recently, the advances in deep learning have lead to a surge in research on semantic parsing and question answering over knowledge graphs (KGQA). Significant improvements in these fields and in natural language processing ...
Semantic Digital Twins in the Industrial Internet of Things
(2022-06-20)
The seamless connection of control devices, physical assets, and IT systems through internet-based networks is one of the current megatrends. Especially the manufacturing industry experiences disruptive changes in how ...
Machine Learning Methodologies for Interpretable Compound Activity Predictions
(2020-02-26)
Machine learning (ML) models have gained attention for mining the pharmaceutical data that are currently generated at unprecedented rates and potentially accelerate the discovery of new drugs. The advent of deep learning ...
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data
(2020-03-12)
The main theme of this dissertation focuses on multivariate correlation analysis on different data types and we identify and define various research gaps in the same. For the defined research gaps we develop novel techniques ...
Planning Hybrid Driving-Stepping Locomotion for Ground Robots in Challenging Environments
(2020-02-10)
Ground robots capable of navigating a wide range of terrains are needed in several domains such as disaster response or planetary exploration. Hybrid driving-stepping locomotion is promising since it combines the complementary ...
Crafting digital doubles: Enhancing shape acquisition and material representation
(2020-08-12)
The demand for digital applications follows the unhindered growth of the digitization of tasks across many fields, including the entertainment industry, education and science but
also work environments. ...
Temporal Graph Algorithms
(2022-07-21)
Temporal graphs are often good models for real-life scenarios due to the inherently dynamic nature of most real-world activities and processes. A significant difference between conventional static and temporal graphs is ......