Neuronale Netze

Modellierung von Schwingungssystemen mit Machine Learning Unterstützung

Neuronale Netze zur Zeitreihenprädiktion in Bezug auf mechanische Schwingungssysteme

Machine Learning for Online Monitoring of Electric Power System Stability

Due to an ever increasing penetration of the electrical power system with power electronics coupled generation and transmission devices as well as loads, their dynamic behaviour will dominate the overall system dynamics in the future.

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 deterministic and synchronous multi-channelextension (DSME) is a recent amendment to the IEEE 802.15.4standard, which aims …

Maschinelles Lernen für die Elektromagnetische Verträglichkeit

Anwendung maschinelles Lernen im Ingenieursbereich der Elektromagnetischen Verträglichkeit

Machine Learning für ressourcenbeschränkte eingebettete Systeme

Künstliche neuronale Netze auf kleinen Microcontrollern zur Gestenerkennung.

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 states given an initial state and a sequence of controls. This process is slow and a major computational …

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 (OCT) is increasingly used as an imaging modality. OCT is suitable for accurate pose estimation due to its …

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, machine learning methods using dermoscopic images have been proposed to assist human experts. Other approaches have …

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 indices from cardiac MR images is an intricate task due to large variations among patients and deformation during the …

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 large distributed networks and may affect each other's functionality due to failures or attacks. Identifying abnormal …