The paper presents a frequency recorder based on a convolutional neural network (CNN) for Internet of Things (IoT) applications. The proposed frequency recorder is designed to be low-cost, low-power, and capable of real-time operation. The frequency recorder is based on a CNN, which is trained to recognize different frequency bands. The CNN is implemented on a low-cost, low-power microcontroller, making it suitable for IoT applications. The frequency recorder can be used in a variety of applications, including environmental monitoring, health monitoring, and industrial control. [Read More](https://arxiv.org/pdf/2107.12345)
A Frequency Recorder Based on a Convolutional Neural Network for IoT Applications
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