Michael Adams

Affiliations:
  • Bielefeld University, Cognitronics and Sensor Systems Group, Germany


According to our database1, Michael Adams authored at least 11 papers between 2016 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods.
Sensors, 2019

A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data.
Proceedings of the 16th Workshop on Positioning, Navigation and Communications, 2019

Towards an SSVEP-BCI Controlled Smart Home.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Constraint Exploration of Convolutional Network Architectures with Neuroevolution.
Proceedings of the Advances in Computational Intelligence, 2019

A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

2018
An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

2017
An Adaptive Acknowledgement On-demand Protocol for Wireless Sensor Networks.
Proceedings of the 6th International Conference on Sensor Networks (SENSORNETS 2017), 2017

2016
A software assistant for user-centric calibration of a wireless body sensor.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

Towards a comprehensive power consumption model for wireless sensor nodes.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

Detailed Estimation of Cognitive Workload with Reference to a Modern Working Environment.
Proceedings of the Biomedical Engineering Systems and Technologies, 2016

Fine-Grained Prediction of Cognitive Workload in a Modern Working Environment by Utilizing Short-Term Physiological Parameters.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016


  Loading...