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IEEE/ICACT20240199 Slide.16        [Big Slide]	Oral Presentation
	In conclusion, this paper compares SVM and Single-layered Perceptron for sensor fault detection in WSN using labeled datasets from various scenarios. High Classification Accuracy: Both SVM and Single-layered Perceptron achieved impressive accuracy exceeding 99% across different scenarios, indicating their effectiveness in detecting sensor faults in WSN. Simulation results indicate that SVM demonstrates higher accuracy than Single-layered Perceptron, suggesting its potential superiority in sensor fault detection within WSN.

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