首页> 外文期刊>Network Daily News >Investigators at Capital Normal University Discuss Findings in Networks (Mulhita: a Novel Multiclass Classification Framework With Multibranch Lstm and Hierarchical Temporal Attention for Early Detection of Mental Stress)
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Investigators at Capital Normal University Discuss Findings in Networks (Mulhita: a Novel Multiclass Classification Framework With Multibranch Lstm and Hierarchical Temporal Attention for Early Detection of Mental Stress)

机译:首都师范大学的研究人员讨论了网络中的发现(Mulhita:具有多重型LSTM的新型多类分类框架和层次的时间关注,以早期检测精神压力)

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By a News Reporter-Staff News Editor at Network Daily News – Current study results on Networks have been published. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Mental stress is an increasingly common psychological issue leading to diseases such as depression, addiction, and heart attack. In this study, an early detection framework based on electroencephalogram (EEG) data is developed for reducing the risk of these diseases.” Funders for this research include Beijing Natural Science Foundation, National Natural Science Foundation of China (NSFC), Academy for Multidisciplinary Studies of Capital Normal University (CNU).
机译:由Network Daily News的新闻记者播放器新闻编辑 - 当前有关网络的研究结果已发布。 根据新闻RX记者的新闻报道,北京的新闻报道说:“精神压力是越来越普遍的心理问题,导致抑郁症,成瘾和心脏病发作等疾病。 在这项研究中,开发了基于脑电图(EEG)数据的早期检测框架,以降低这些疾病的风险。” 这项研究的资助者包括北京自然科学基金会,中国国家自然科学基金会(NSFC),首都师范大学多学科研究学院(CNU)。

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