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08/21/2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
Existing black box modeling approaches in machine learning suffer from a...
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08/14/2023
Graph Structural Residuals: A Learning Approach to Diagnosis
Traditional model-based diagnosis relies on constructing explicit system...
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06/13/2023
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
Deep learning (DL) models have seen increased attention for time series ...
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05/25/2023
A Diagnosis Algorithms for a Rotary Indexing Machine
Rotary Indexing Machines (RIMs) are widely used in manufacturing due to ...
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05/03/2023
A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare
The protection of non-combatants in times of (fully) autonomous warfare ...
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02/09/2023
Plan-Based Derivation of General Functional Structures in Product Design
In product design, a decomposition of the overall product function into ...
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09/20/2022
On a Uniform Causality Model for Industrial Automation
The increasing complexity of Cyber-Physical Systems (CPS) makes industri...
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01/19/2022
Problem examination for AI methods in product design
Artificial Intelligence (AI) has significant potential for product desig...
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12/31/2021
A Research Agenda for AI Planning in the Field of Flexible Production Systems
Manufacturing companies face challenges when it comes to quickly adaptin...
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11/28/2021
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
Machine Learning (ML) has achieved great successes in recent decades, bo...
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05/18/2021
Reconfiguring Hybrid Systems Using SAT
Reconfiguration aims at recovering a system from a fault by automaticall...
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10/29/2020
LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems
Anomaly detection is the task of detecting data which differs from the n...
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10/29/2020
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata
Performing anomaly detection in hybrid systems is a challenging task sin...
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10/28/2020
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
Unsupervised anomaly detection (AD) is a major topic in the field of Cyb...
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10/27/2020
The DigitalTwin from an Artificial Intelligence Perspective
Services for Cyber-Physical Systems based on Artificial Intelligence and...
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02/22/2019
