Acoustic Sensors

Long-Term ENSO Forecasting Using Hybrid CNN and Transformer Models

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Long-Term ENSO Forecasting Using Hybrid CNN and Transformer Models

Click the blue text Follow us Cite this article: Lyu, P. M., T. Tang, F. H. Ling, J.-J. Luo, N. Boers, W. L. Ouyang, and L. Bai, 2024: ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-024-3316-6 Download: http://www.iapjournals.ac.cn/aas/en/article/doi/10.1007/s00376-024-3316-6 AI Special Issue | Pre-Publication Long-Term ENSO Forecasting Using … Read more

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

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Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

1Introduction To avoid the interference of unexpected background noise and obtain high-fidelity voice signals, voice recognition urgently requires acoustic sensors with high sensitivity, flat frequency response, and high signal-to-noise ratio (SNR). Graphene oxide (GO) has gained widespread attention due to its controllable thickness and high tensile strength. However, low mechanical sensitivity (SM) caused by undesirable … Read more