https://www.selleckchem.com/products/AS703026.html
The astounding development of optical sensing imaging technology, coupled with the impressive improvements in machine learning algorithms, has increased our ability to understand and extract information from scenic events. In most cases, Convolution neural networks (CNNs) are largely adopted to infer knowledge due to their surprising success in automation, surveillance, and many other application domains. However, the convolution operations' overwhelming computation demand has somewhat limited their use in remote sensing edge devices.
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