Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices
Shaushenova A. Kuznetsov O. Nurpeisova A. Ongarbayeva M.
April 2025Multidisciplinary Digital Publishing Institute (MDPI)
Technologies
2025#13Issue 4
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 where computational resources are limited. Our study demonstrates the efficiency of KAN-based solutions for image analysis tasks in IoTs environments, providing comparative performance metrics against conventional convolutional neural networks. The experimental results indicate substantial improvements in processing speed and memory utilization while maintaining competitive accuracy. This work contributes to the advancement of AI-driven IoTs applications by proposing optimized KAN-based implementations suitable for edge computing scenarios. The findings have important implications for IoTs deployment in smart infrastructure, environmental monitoring, and industrial automation where efficient image processing is critical.
computer vision , efficient inference , hybrid neural architectures , Kolmogorov–Arnold networks , lightweight neural networks , person detection , resource-constrained computing , TinyML , visual wake words
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Department of Information Systems, Faculty of Computer Systems and Professional Education, S. Seifullin Kazakh Agro Technical Research University, Astana, 010000, Kazakhstan
Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10CO, Novedrate, 22060, Italy
Department of Intelligent Software Systems and Technologies, School of Computer Science and Artificial Intelligence, Karazin Kharkiv National University, 4 Svobody Sq., V.N, Kharkiv, 61022, Ukraine
Department of Information and Communication Technologies, Faculty of Natural Sciences, International Taraz University Named After Sherkhan Murtaza, Taraz, 080000, Kazakhstan
Department of Information Systems
Department of Theoretical and Applied Sciences
Department of Intelligent Software Systems and Technologies
Department of Information and Communication Technologies
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