Fakultäten der Universität Bonn: Suche
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Development of Computational Methods for Rationalizing Chemical Lead Optimization and Compound Design
(2021-09-22)
Chemical lead optimization (LO) plays an important role in pharmaceutical drug discovery. It represents a highly complex multi-objective process, in which the ultimate goal is to identify a suitable candidate molecule that ...
On the Localisation and Reconstruction of Structural Model Errors in Dynamic Systems
(2021-09-02)
Pursuing a deeper understanding of the behaviour of dynamic systems is a main task of modern sciences, from accurate weather forecasts to precise drug delivery, from electrical engineering to cell biology and the very ......
Frequency Domain Methods in Recurrent Neural Networks for Sequential Data Processing
(2021-07-29)
Machine learning algorithms now make it possible for computers to solve problems, which were thought to be impossible to automize. Neural Speech processing, convolutional neural networks, and other recent advances are ......
Maschinelle Lernalgorithmen erlauben es, Programme zu entwickeln, die Probleme lösen, die noch vor Kurzem für Computer als unlösbar galten. Fortschritte in der neuronalen Sprachverarbeitung, schnelle Faltungsnetze, und ......
Maschinelle Lernalgorithmen erlauben es, Programme zu entwickeln, die Probleme lösen, die noch vor Kurzem für Computer als unlösbar galten. Fortschritte in der neuronalen Sprachverarbeitung, schnelle Faltungsnetze, und ......
Algebraic, logical and stochastic reasoning for the automatic prediction of 3d building structures
(2021-01-26)
3D building models are nowadays an important prerequisite for many applications such as rescue management or navigation tasks. However, most approaches for the automatic reconstruction of buildings rely on high-resolution ...
Plant Classification Systems for Agricultural Robots
(2021-03-16)
Due to a continually growing world population, the demand for food and energy increases continuously. As a central source of food, feed, and energy, crop production is therefore called upon to produce higher yields. To ...
On Discrete and Geometric Firefighting
(2021-08-19)
Wildfires ravaging forests around the globe cost lives, homes and billions in damages every year, which motivates the study of effective firefighting. In the area of theoretical computer science, several different models ......
Knowledge Context for Entity and Relation Linking
(2021-10-28)
Knowledge graphs (KGs) are structures that provide a compendious representation of real world facts about entities and their relationships. The last decade has seen an increase in the number, size and application of knowledge ...
Multi-View Kernel Methods for Binding Affinity Prediction
(2021-09-27)
In the present thesis, we focus on the potential and limits of multi-view regression techniques in the field of ligand affinity prediction.
Multi-view learning (MVL) denotes machine learning approaches that utilise ...
Multi-view learning (MVL) denotes machine learning approaches that utilise ...
Super-resolution time-resolved imaging using computational sensor fusion
(2021-01-18)
Imaging across both the full transverse spatial and temporal dimensions of a scene with high precision in all three coordinates is key to applications ranging from LIDAR to fluorescence lifetime imaging. However, compromises ...
Comparative Analysis of Open Linked Fiscal Data
(2021-06-01)
The open data movement within public administrations has provided data regarding governance publicly. As public administrators and governments produce data and release the data as open data, the volume of the data is highly ...