Toward among-device AI from on-device AI with stream pipelines

Author:

Ham MyungJoo1,Woo Sangjung1,Jung Jaeyun1,Song Wook1,Jang Gichan1,Ahn Yongjoo1,Ahn Hyoungjoo1

Affiliation:

1. Samsung Research, Seoul, Republic of Korea

Publisher

ACM

Reference24 articles.

1. Connectivity Standards Alliance. (accessed 1 Oct 2021). Matter. https://buildwithmatter.com/. Connectivity Standards Alliance. (accessed 1 Oct 2021). Matter. https://buildwithmatter.com/.

2. Alexandre Esse. 2017 (accessed 1 Oct 2021). zlib based GStreamer plugins. https://github.com/Snec/gst-gz (GitHub repository). Alexandre Esse. 2017 (accessed 1 Oct 2021). zlib based GStreamer plugins. https://github.com/Snec/gst-gz (GitHub repository).

3. Eclipse Foundation. (accessed 1 Oct 2021). Eclipse Paho C Client Library for the MQTT Protocol. https://github.com/eclipse/paho.mqtt.c (GitHub repository. Eclipse Foundation. (accessed 1 Oct 2021). Eclipse Paho C Client Library for the MQTT Protocol. https://github.com/eclipse/paho.mqtt.c (GitHub repository.

4. The IBM wireless sensor networking testbed

5. Google. (accessed 1 Oct 2021). FlexBuffers. https://google.github.io/flatbuffers/fexbufers.html. Google. (accessed 1 Oct 2021). FlexBuffers. https://google.github.io/flatbuffers/fexbufers.html.

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1. Analysing Technical and Economic Dimensions using AI Techniques;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

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