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Displaying 1 - 30 of 56
Approximate Bayesian Decision Theory With Neural Networks
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Geistes- und Sozialwissenschaften
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
IngenieurwissenschaftenInformatik
Influence of Mixing Characteristics on Polymerization Reactors
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
Machine Learning Application in Automotive Catalysts
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
Multiscale Modelling of Cement-Based Materials III
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
IngenieurwissenschaftenBauwesen und Architektur
Parallel Finite Element Methods for Complex Flows of Complex Fluids
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Parametric Study on Determination of Load-Bearing Capacity of Dry-stacked Masonry Wall under Cyclic Loading
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
IngenieurwissenschaftenBauwesen und Architektur-
Preliminary Study for Power Forecasting of Machines in Industrial Production Systems With Neural Networks
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau -
Utilizing Mamba for Microorganism Protein Synthesis Prediction
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
IngenieurwissenschaftenInformatik -
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
IngenieurwissenschaftenInformatik 
Computer-Aided Analysis of Time-Lapse Microscopy Data II
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
LebenswissenschaftenGrundlagen der Biologie und Medizin
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
IngenieurwissenschaftenInformatik
Deriving of Design Guidelines for Cold Flow Combustors Based on Flow Phenomena in Combustors Under Real Operating Conditions
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
IngenieurwissenschaftenInformatik-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
IngenieurwissenschaftenInformatik 
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
IngenieurwissenschaftenMaterialwissenschaft
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
IngenieurwissenschaftenInformatik
Improving the Model-Based Prediction of Vibroacoustic Vehicle Properties by Mastering Uncertainty
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau
Multiscale Modelling of Cement-Based Materials II
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
IngenieurwissenschaftenBauwesen und Architektur
Predicting Human Similarity Judgments Using Normalizing Flows
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Geistes- und Sozialwissenschaften
Reliability of Statically Indeterminate Concrete Beams With GFRP Reinforcement
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
IngenieurwissenschaftenBauwesen und Architektur-
Scientific Machine Learning for Chemical Kinetics
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Combining Regenerative and Degenerative Methods in Growing Neural Networks
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
IngenieurwissenschaftenInformatik-
Computer-Aided Analysis of Time-Lapse Microscopy Data I
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Lebenswissenschaften 
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik-
Generation of Training Data for a Gaussian Process Based Surrogate Model
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Ingenieurwissenschaften -
Implementation and Validation of an Approach for Statistical Parameter Calibration
The prediction accuracy of models is affected using deterministic parameters. That is because the uncertainty of these ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau 
Multiscale Modelling of Cement-Based Materials
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
IngenieurwissenschaftenBauwesen und Architektur
Performance Analysis of the Ice-Sheet and Sea-Level System Model (ISSM)
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
IngenieurwissenschaftenInformatik
