Knowledge Distillation for a Lightweight Deep Learning-Based Indoor Positioning System on Edge Environments
Author:
Affiliation:
1. Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10220947/10220436/10220996.pdf?arnumber=10220996
Reference24 articles.
1. Many-to-one knowledge distillation of real-time epileptic seizure detection for low-power wearable internet of things systems;amirshahi;arXiv preprint arXiv 2208 02403,2022
2. Convolutional Neural Networks Learning from Respiratory data
3. A Fast Indoor Positioning Using a Knowledge-Distilled Convolutional Neural Network (KD-CNN)
4. A novel approach to detect face mask to control covid using deep learning;rao;Eur J Mol Clin Med,2020
5. Vehicle Blind Spot Area Detection Using Bluetooth Low Energy and Multilateration
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1. NearCount for Model Compression on Edge Computing-Based Smart Lighting with Product-of-Sum Function;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06
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