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 this study. we propose a lightweight separable 1D convolution neural network that can be implemented in SIL-IoTs n... https://www.foldlyers.shop/product-category/peltier-modules/