Abstract: Vibration signals are generally utilized for machinery fault diagnosis to perform timely maintenance and then reduce losses. Thus, the feature extraction on one-dimensional vibration signals ...
Abstract: Blind hyperspectral unmixing is the process of expressing the measured spectrum of a pixel as a combination of a set of spectral signatures called endmembers and simultaneously determining ...
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该研究提出一种基于图的CAD辅助方法，可在参数化设计序列中预测下一个建模操作。研究人员将来自汽车领域的真实CATIA V5模型转换为有向无环图（Directed Acyclic Graph，DAG）以捕获特征依赖关系，从而实现直接从结构设计数据中学习。所采用的 该研究提出一种基于图的CAD辅助方法，可在参数化设计序列中预测下一个建模操作。研究人员将来自汽车领域的真实CATIA V5模型转换为有向无 ...
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AI model predicts robberies across US cities with 86.3% accuracy
Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...
Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks Zhenan Shao , Tianyu Ren , Chengxiao Wang , Leyla Isik , Diane M.
MsGCN: a multi-stream graph convolutional network for multiband PLV graph fusion in EEG-based biometric identification Wenli Tian Jun Yang Xiangyu Ju Ming Li Dewen Hu Frontiers in Computational ...
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