Marco Braun

Orcid: 0000-0001-6474-3215

According to our database1, Marco Braun authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Empirical Study on the Impact of Few-Cost Proxies.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Deep Learning Method for Doppler Disambiguation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds.
CoRR, 2023

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company.
CoRR, 2023

Impact of Landing Interruptions on the Optimal Design and Operation of Green Hydrogen Hubs.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Real-Time Traffic Counting on Resource Constrained Embedded Systems.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Quantification of Uncertainties in Deep Learning-based Environment Perception.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices.
CoRR, 2020

Enabling decentralized demand side management in industrial energy supply systems.
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

Incorporation of Expert Knowledge for Learning Robotic Assembly Tasks.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020


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