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A Bayesian-optimized 1D CNN-based outlier detection approach for wireless sensor networks

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Volume 48, Issue 8, Page 1605-1614, May 2026.
Wireless sensor networks (WSNs) have recently emerged as a critical technology in various applications, including industrial automation, building monitoring, and military. However, the data generated by these networks are often prone to outliers, which ...