NNFacet: splitting neural network for concurrent smart sensors
Various deep neural networks (DNNs) including convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have shown appealing performance in various classification tasks. However, due to their large sizes, a single DNN often cannot fit into the memory of resource-constrained smart IoT...
Saved in:
Main Authors: | Chen, Jiale, Le, Duc Van, Tan, Rui, Ho, Daren |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/171618 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Development of an integrated and multi-sensor IoT device for smart toilets and smart facilities
by: Tan, Kevin Jan Ming
Published: (2024) -
Smart electronic applications with Google home
by: K A Abdul Hameed
Published: (2024) -
Optimal status update for caching enabled IoT networks: a dueling deep R-network approach
by: Xu, Chao, et al.
Published: (2022) -
Blockchain and IoT based food traceability for smart agriculture
by: Lin, Jun, et al.
Published: (2020) -
Smart noise level monitoring system with IoT cloud
by: Koh, Jovester Ming Jie
Published: (2024)