Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring-Reference-Cited by-同舟云学术

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Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring

Published:2022 Issue: Volume: Page:38-51
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
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Author:

García-Limón Jesús Alfredo,Serrano Rubio Juan Pablo,Herrera-Guzmán Rafael,Rodriguez-Vidal Luz Maria,Hernández-Mendoza Cesar Manuel

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19493-1_4

Reference19 articles.

1. Bertha Mazon-Olivo, A.P.: Internet of things: state-of-the-art, computing paradigms and reference architectures. IEEE Lat. Am. Trans. 20, 49–63 (2022)

2. López-Alfaro, G.A., et al.: Mobile robot for object detection using an iot system. In: 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), vol. 4, pp. 1–6 (2020)

3. López-Alfaro, G.A., et al.: Smart iot device for energy consumption monitoring in real time. In: 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), vol. 5, pp. 1–6 (2021)

4. Mohamed, K.S.: The era of internet of things: towards a smart world. In: The Era of Internet of Things, pp. 1–19. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18133-8_1

5. Pan, J., McElhannon, J.: Future edge cloud and edge computing for internet of things applications. IEEE Internet Things J. 5, 439–449 (2018)

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1. IoT System For Mechanical Faults Detection In Automotive Industry;2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC);2023-10-18

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