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Publications
Type
Conference paper
Journal article
Preprint
Report
Date
2021
2020
2019
2018
Exploring structure-property relationships in magnesium dissolution modulators
Small organic molecules that modulate the degradation behavior of Mg constitute benign and useful materials to modify the service …
Tim Würger
,
Di Mei
,
Bahram Vaghefinazari
,
David A. Winkler
,
Sviatlana V. Lamaka
,
Mikhail Zheludkevich
,
Robert Meißner
,
Christian Feiler
PDF
Project
DOI
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems
In this paper we investigate the usage of machine learning for interpreting measured sensor values in sensor modules. In particular we …
Marcus Venzke
,
Daniel Klisch
,
Philipp Kubik
,
Asad Ali
,
Jesper Dell Missier
,
Volker Turau
PDF
Project
Predicting long-term dynamics of soil salinity and sodicity on a global scale
Knowledge of spatiotemporal distribution and likelihood of (re)occurrence of salt-affected soils is crucial to our understanding of …
Amirhossein Hassani
,
Adisa Azapagic
,
Nima Shokri
PDF
DOI
ANN Performance for the Prediction of High-Speed Digital Interconnects over Multiple PCBs
In this paper the performance and the accuracy of artificial neural networks for the prediction of high-speed digital interconnects up …
Katharina Scharff
,
Morten Schierholz
,
Cheng Yang
,
Christian Schuster
Comparison of Collaborative versus Extended Artificial Neural Networks for PDN Design
Currently machine learning tools are not capable to provide analysis solutions for complex printed circuit boards. It is unknown how to …
Morten Schierholz
,
Cheng Yang
,
Kallol Roy
,
Madhavan Swaminathan
,
Christian Schuster
Project
Towards Delay-Minimal Scheduling through Reinforcement Learning in IEEE 802.15.4 DSME
The rise of wireless sensor networks (WSNs) inindustrial applications imposes novel demands on existing wireless protocols. The …
Florian Meyer
,
Volker Turau
PDF
Parareal with a Learned Coarse Model for Robotic Manipulation
A key component of many robotics model-based planning and control algorithms is physics predictions, that is, forecasting a sequence of …
Wisdom Agboh
,
Oliver Grainger
,
Daniel Ruprecht
,
Mehmet Dogar
PDF
Cite
Video
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography …
Nils Gessert
,
Matthias Schlüter
,
Alexander Schlaefer
PDF
Cite
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models
The initial assessment of skin lesions is typically based on dermoscopic images. As this is a difficult and time-consuming task, …
Nils Gessert
,
Marcel Bengs
,
Alexander Schlaefer
PDF
Cite
In silico screening of modulators of magnesium dissolution
The vast number of small molecules with potentially useful dissolution modulating properties (inhibitors or accelerators) renders …
Christian Feiler
,
Di Mei
,
Bahram Vaghefinazari
,
Tim Würger
,
Robert Meißner
,
Berengere J. C. Luthringer-Feyerabend
,
David A. Winkler
,
Mikhail Zheludkevich
,
Sviatlana Lamaka
PDF
Project
DOI
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
Cardiac left ventricle (LV) quantification provides a tool for diagnosing cardiac diseases. Automatic calculation of all relevant LV …
Nils Gessert
,
Alexander Schlaefer
PDF
Cite
Joint Learning of Geometric and Probabilistic Constellation Shaping
The choice of constellations largely affects the performance of communication systems. When designing constellations, both the …
Maximilian Stark
,
Fayçal Ait Aoudia
,
Jakob Hoydis
PDF
DOI
A machine learning-based method for simulation of ship speed profile in a complex ice field
Computational methods for predicting ship speed profile in a complex ice field have traditionally relied on mechanistic simulations. …
Aleksandar-Saša Milaković
,
Fang Li
,
Mohamed Marouf
,
Sören Ehlers
PDF
DOI
Trainable Communication Systems: Concepts and Prototype
We consider a trainable point-to-point communication system, where both transmitter and receiver are implemented as neural networks …
Sebastian Cammerer
,
Faycal Ait Aoudia
,
Sebastian Dörner
,
Maximilian Stark
,
Jakob Hoydis
,
Stephan ten Brink
PDF
Local monitoring of embedded applications and devices using artificial neural networks
Reliability, security, and safety become even more challenging in times of the Internet of Things (IoT). Devices operate jointly in …
Fin Hendrik Bahnsen
,
Görschwin Fey
PDF
Cite
Project
Evaluation of Neural Networks to Predict Target Impedance Violations of Power Delivery Networks
An artificial neural network approach is presented to predict whether a power delivery network setup violates the target impedance. …
Morten Schierholz
,
Katharina Scharff
,
Christian Schuster
Project
Online Monitoring of Power System Small Signal Stability Using Artificial Neural Networks
Shifting paradigms in electrical power generation, transmission and consumption will affect system dynamics and may negatively …
Christian Hotz
,
Christian Becker
PDF
Cite
Project
The 'Dark Side' of Big Data Analytics - Uncovering Path Dependency Risks of BDA-Investments
Recently, information systems (IS) literature has shown an increasing interest in Big Data and Analytics (BDA) to gain competitive …
Thomas Wrona
,
Pauline Reinecke
PDF
Project
Data Science Based Mg Corrosion Engineering
Magnesium exhibits a high potential for a variety of applications in areas such as transport, energy and medicine. However, untreated …
Tim Würger
,
Christian Feiler
,
Félix Musil
,
Gregor Vonbun-Feldbauer
,
Daniel Höche
,
Sviatlana V. Lamaka
,
Mikhail Zheludkevich
,
Robert Meißner
PDF
Project
DOI
Force Estimation from OCT Volumes using 3D CNNs
Purpose: Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during …
Nils Gessert
,
Jens Beringhoff
,
Christoph Otte
,
Alexander Schlaefer
PDF
Cite
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