Intelligence Inference on IoT Devices-Reference-Cited by-同舟云学术

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Intelligence Inference on IoT Devices

Published:2023-11-25 Issue: Volume: Page:171-195
ISSN:
Container-title:Learning Techniques for the Internet of Things
language:en
Short-container-title:

Author:

Zhang Qiyang,Li Ying,Zhang Dingge,Murturi Ilir,Pujol Victor Casamayor,Dustdar Schahram,Wang Shangguang

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-50514-0_9

Reference79 articles.

1. Adadi, Amina, and Mohammed Berrada. 2018. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE access 6: 52138–52160.

2. Ain, Qurat-ul et al. 2018. IoT operating system based fuzzy inference system for home energy management system in smart buildings. Sensors 18 (9): 2802.

3. Alkhabbas, Fahed, et al. 2020. A goal-driven approach for deploying self-adaptive IoT systems. In 2020 IEEE International Conference on Software Architecture (ICSA), 146–156. Piscataway: IEEE.

4. Almeida, Mario, et al. 2022. Dyno: Dynamic onloading of deep neural networks from cloud to device. ACM Transactions on Embedded Computing Systems 21 (6): 1–24.

5. Azizi, Shekoofeh, et al. 2023. Synthetic data from diffusion models improves imagenet classification. arXiv preprint. arXiv:2304.08466.

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