Michael Stocker

Orcid: 0000-0002-9382-3289

According to our database1, Michael Stocker authored at least 10 papers between 2016 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Impact of Feature Selection and CIR Window Length on NLoS Classification for UWB Systems.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

InSight: Enabling NLOS Classification, Error Correction, and Anchor Selection on Resource-Constrained UWB Devices.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

Applying NLOS Classification and Error Correction Techniques to UWB Systems: Lessons Learned and Recommendations.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022
Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Towards Secure Multicast Ranging with Ultra-Wideband Systems.
Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

Poster: Towards NLOS Ranging Error Detection and Mitigation using Machine Learning on Embedded Ultra-Wideband Devices.
Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

2020
Towards Secure and Scalable UWB-based Positioning Systems.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

2019
SnapLoc: an ultra-fast UWB-based indoor localization system for an unlimited number of tags: demo abstract.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

SnapLoc: an ultra-fast UWB-based indoor localization system for an unlimited number of tags.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

2016
Decision-making: Be wary of 'ethical' artificial intelligence.
Nat., 2016


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