Period | 23 Oct 2024 |
---|---|
Event title | IEEE SENSORS 2024 |
Event type | Conference |
Sponsors | IEEE Internet of Things Journal, IEEE Journal of Selected Areas in Sensors, IEEE Journal on Flexible Electronics, IEEE Sensors Council, IEEE Sensors Letters, IEEE Sensors Reviews |
Location | Kobe, JapanShow on map |
Degree of Recognition | International |
Keywords
- machine learning
- Flow Sensor
- Anemometer
- Thermal
- MEMS
- Micromachining
Documents & Links
- IEEE_Sensors_Presentation_Thomas_Hackett_Final
File: application/octet-stream, 30.8 MB
Type: Audiovisual
Related content
-
Research output
-
A Multi-Parameter Measurement System for MEMS Anemoters for Data Collection with Machine Learning Outcomes
Research output: Contribution to conference › Paper
-
Design Parameter Comparison for a Silicon-based Directional Low Drift Thermal Anemometer for Horticultural Applications
Research output: Contribution to conference › Abstract › Academic
-
A Machine Learning Enhanced MEMS Thermal Anemometer for Detection of Flow, Angle of Attack, and Relative Humidity
Research output: Contribution to journal › Article › Academic › peer-review
-
Advances in 2D Anemometry
Research output: Contribution to conference › Poster › Academic