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UEA technology to detect endangered right whales

机译:UEA技术检测濒临灭绝的右鲸

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Researchers at the University of East Anglia (UEA) have developed machine learning technology to protect endangered North Atlantic right whales from threats posed by human marine activity.The machine learning techniques can be used to detect the whales' presence by listening to their submarine sounds. By locating the whales before they approach potentially harmful situations, the technology aims to protect the animals and avoid costly shutdowns at offshore operations.Lead researcher Dr Ben Milner explained that the technique utilises a deep convolutional neural network (CNN). "To train the CNN, we begin by taking around 2,000 examples of right whale upcall and gunshot sounds and a further 1,000 examples of just background noise, all collected through passive acoustic monitoring (PAM) devices," he said.
机译:East Anglia大学(UEA)的研究人员已经开发了机器学习技术,以保护濒临灭绝的北大西洋权利从人类海洋活动所带来的威胁。机器学习技术可用于通过收听潜艇声音来检测鲸鱼的存在。 通过在接近潜在有害的情况之前定位鲸鱼,该技术旨在保护动物并避免在离岸操作时昂贵停工。本技术解释了该技术利用深卷积神经网络(CNN)。 “训练CNN,我们首先取得大约2,000个右鲸联和枪声的例子,并进一步通过被动声监控(PAM)设备收集的背景噪音的另一个示例,”他说。

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  • 来源
    《The Engineer》 |2021年第7929期|8-8|共1页
  • 作者

    MELISSA BRAWSHAW;

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