Room-Temperature Trace NO 2 Monitoring System Based on Two-Dimensional Heterostructures and Integrated with Deep Learning

value of 0.9826 after data augmentation. This model significantly improves detection accuracy at low concentrations. Furthermore, by integrating wireless communication modules, the system supports real-time monitoring, multichannel operation, and intelligent alarming, offering a novel strategy for high-precision gas detection at room temperature.