Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices

Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices

This research investigates the implementation of Kolmogorov–Arnold networks (KANs) for image processing in resource-constrained IoTs devices. KANs represent a novel neural network architecture that offers significant advantages over traditional deep learning approaches, particularly in applications...

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Bibliographic Details
Main Authors: Anargul Shaushenova, Oleksandr Kuznetsov, Ardak Nurpeisova, Maral Ongarbayeva
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Technologies
Subjects:
Kolmogorov–Arnold networks
person detection
visual wake words
lightweight neural networks
TinyML
resource-constrained computing
Online Access:https://www.mdpi.com/2227-7080/13/4/155
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