实体
Tess
Tess
PulseAugur coverage of Tess — every cluster mentioning Tess across labs, papers, and developer communities, ranked by signal.
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最近 · 第 1/1 页 · 共 3 条
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Deep learning W-Net detects asteroids in TESS data
Researchers have developed a new deep learning method called a W-Net, utilizing two stacked 3D U-Nets, to detect asteroids in TESS image data. This approach is robust to variations in asteroid speed and direction, unlik…
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Deep learning infers stellar parameters from short astronomical observations
Researchers have developed a deep learning method to infer asteroseismic parameters from short astronomical observations. The model aims to efficiently analyze data from missions like TESS, which has observed hundreds o…
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LSTM模型在语音情感识别中达到99%的准确率
研究人员开发了一种新颖的语音情感识别系统，利用梅尔频率倒谱系数（MFCC）进行特征提取，并使用长短期记忆（LSTM）神经网络进行分类。该方法在准确率上达到了99%，优于准确率为98%的支持向量机基线。该系统在虚拟助手和心理健康监测等应用方面显示出潜力。