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Learnable preprocessing outperforms fixed methods, boosting gas recognition accuracy by over 14 percentage points on a challenging benchmark.
UnMixNet not only solves gas unmixing more accurately but also embeds physical laws into the inference process, leading to superior performance in dynamic environments.