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Updated: Jun 26, 2025

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Bat2Web:使用音频传感器数据对蝙蝠物种回声定位信号进行实时分类的框架.

Taslim Mahbub1, Azadan Bhagwagar1, Priyanka Chand1

  • 1Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

现在可以使用微小的神经网络和物联网传感器来自动识别蝙蝠物种. 该系统从回声定位呼叫中准确识别蝙蝠,有助于保护和生态监测.

关键词:
在谷歌的珊瑚.这就是为什么物联网是物联网物联网.洛拉旺人 洛拉旺人这是一个NVIDIA Jetson.蝙蝠回声定位分析蝙蝠物种分类 蝙蝠物种分类生物声学是一种生物声学.机器学习是机器学习.

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Echo01:06

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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
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