Search Results for author: Julius Schöning

Found 4 papers, 1 papers with code

AI-Supported Assessment of Load Safety

no code implementations6 Jun 2023 Julius Schöning, Niklas Kruse

This work shows how photos of the load, taken by the truck driver or the loadmaster after the loading process, can be used to assess load safety.

AI-in-the-Loop -- The impact of HMI in AI-based Application

no code implementations21 Mar 2023 Julius Schöning, Clemens Westerkamp

Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model.

AI for Closed-Loop Control Systems --- New Opportunities for Modeling, Designing, and Tuning Control Systems

no code implementations18 Jan 2022 Julius Schöning, Adrian Riechmann, Hans-Jürgen Pfisterer

Control Systems, particularly closed-loop control systems (CLCS), are frequently used in production machines, vehicles, and robots nowadays.

Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis

1 code implementation23 Jun 2021 Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack

When optimizing convolutional neural networks (CNN) for a specific image-based task, specialists commonly overshoot the number of convolutional layers in their designs.

Cannot find the paper you are looking for? You can Submit a new open access paper.