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20062025
most citedThe Gaia mission

7.1k citations

Showing 2023Show all

6 papers · 1 filter

cs.SE20235 cited

Revisiting Neural Program Smoothing for Fuzzing

Maria-Irina Nicolae, Max Eisele, Andreas Zeller

Testing with randomly generated inputs (fuzzing) has gained significant traction due to its capacity to expose program vulnerabilities automatically. Fuzz testing campaigns generat…

cs.LG202314 cited

Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines

Vivek Parekh, Dominik Flore, Sebastian Schöps

Optimization of rotating electrical machines is both time- and computationally expensive. Because of the different parametrization, design optimization is commonly executed separat…

cs.AI202316 cited

System Theoretic View on Uncertainties

Roman Gansch, Ahmad Adee

The complexity of the operating environment and required technologies for highly automated driving is unprecedented. A different type of threat to safe operation besides the fault-…

eess.SY202310 cited

Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving

Ahmad Adee, Roman Gansch, Peter Liggesmeyer +2

Highly automated driving (HAD) vehicles are complex systems operating in an open context. Performance limitations originating from sensing and understanding the open context under…

eess.SY202317 cited

Systematic Modeling Approach for Environmental Perception Limitations in Automated Driving

Ahmad Adee, Roman Gansch, Peter Liggesmeyer

Highly automated driving (HAD) vehicles are complex systems operating in an open context. Complexity of these systems as well as limitations and insufficiencies in sensing and unde…

cs.LG202330 cited

PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations

Stefan Gaugel, Manfred Reichert

The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine le…