Heinrich Wörtche

Orcid: 0000-0003-2263-0495

According to our database1, Heinrich Wörtche authored at least 20 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Sensor-based agitation prediction in institutionalized people with dementia A systematic review.
Pervasive Mob. Comput., 2024

2023
A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition.
Sensors, March, 2023

Optimizing Resources and Increasing the Coverage of Internet-of-Things (IoT) Networks: An Approach Based on LoRaWAN.
Sensors, February, 2023

Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023

2022
An Inkjet-Printed Piezoresistive Bidirectional Flow Sensor.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Deep Reinforcement Learning Applied to a Robotic Pick-and-Place Application.
Proceedings of the Optimization, Learning Algorithms and Applications, 2021

Remote Labs and their Didactics in Engineering Education: a Case Study.
Proceedings of the 44th International Convention on Information, 2021

2020
Remote Labs Didactics.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2018
Sensor Motes for the Exploration and Monitoring of Operational Pipelines.
IEEE Trans. Instrum. Meas., 2018

2017
Spatial anomaly detection in sensor networks using neighborhood information.
Inf. Fusion, 2017

2016
Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Asymmetric Multi-way Ranging for Resource-Limited Nodes.
Proceedings of the Ad Hoc Networks - 8th International Conference, 2016

2015
Ensembles of incremental learners to detect anomalies in ad hoc sensor networks.
Ad Hoc Networks, 2015

2014
Real-time magnetic dipole detection with single particle optimization.
Appl. Soft Comput., 2014

Robust sensor cloud localization from range measurements.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Rail-guided robotic end-effector position error due to rail compliance and ship motion.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Online Fusion of Incremental Learning for Wireless Sensor Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Anomaly Detection in Sensor Systems Using Lightweight Machine Learning.
Proceedings of the IEEE International Conference on Systems, 2013

Online Extreme Learning on Fixed-Point Sensor Networks.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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