Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML-Reference-Cited by-同舟云学术

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Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML

Published:2024-07-14 Issue: Volume: Page:299-302
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
Short-container-title:

Author:

Pandey Suraj Kumar¹^ORCID,Nair Shivashankar B¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3654392

Reference24 articles.

1. 2022. TensorFlow. https://www.tensorflow.org [Online; accessed 31. May 2022].

2. 2023. MPU-6050 | TDK InvenSense. https://invensense.tdk.com/products/motion-tracking/6-axis/mpu-6050 [Online; accessed 31. Jan. 2024].

3. 2023. TensorFlow Lite | ML for Mobile and Edge Devices. https://www.tensorflow.org/lite [Online; accessed 8. Jun. 2023].

4. 2024. ESP32 Wi-Fi & Bluetooth Modules I Espressif. https://www.espressif.com/en/products/modules/esp32 [Online; accessed 31. Jan. 2024].

5. 2024. Gartner Identifies Top Trends Shaping the Future of Data Science and Machine Learning. https://www.gartner.com/en/newsroom/press-releases/2023-08-01-gartner-identifies-top-trends-shaping-future-of-data-science-and-machine-learning [Online; accessed 31. Jan. 2024].

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