SA1D-CNN: A SEPARABLE AND ATTENTION BASED LIGHTWEIGHT SENSOR FAULT DIAGNOSIS METHOD FOR SOLAR INSECTICIDAL LAMP INTERNET OF THINGS

SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things

Sensor faults can produce abnormal and spurious observations in the solar insecticidal lamp Internet of Things (SIL-IoTs) system.Early detection and identification of the sensor node’s abnormality are critical to ensure the SIL-IoTs system’s reliability.In bjork corvette this study, we propose a lightweight separable 1D convolution ne

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