OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices

Recent advances in Internet-of-Things (IoT) technologies have sparked significant interest towards developing learning-based sensing applications on embedded edge devices. These efforts, however, are being challenged by the complexities of adapting to unforeseen conditions in an open-world environme...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Bukhari, Abdulrahman, Hosseinimotlagh, Seyedmehdi, Kim, Hyoseung
Format:	Artikel
Sprache:	eng
Schlagworte:	Cloud computing Energy consumption Internet of Things Learning Schedules Scheduling Sensors Time series
Online-Zugang:	Volltext
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