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Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance

Autor: Huang, Xiaobo, Banerjee, Amitabha, Chen, Chien-Chia, Huang, Chengzhi, Chuang, Tzu Yi, Srivastava, Abhishek, Cheveresan, Razvan

Publikováno v: Data Centric AI at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021

We discuss how VMware is solving the following challenges to harness data to operate our ML-based anomaly detection system to detect performance issues in our Software Defined Data Center (SDDC) enterprise deployments: (i) label scarcity and label bi

Externí odkaz: http://arxiv.org/abs/2112.08940

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Dependence of magnetic domain patterns on plasma-induced differential oxidation of CoPd thin films

Autor: Wang, Wei-Hsiang, Liu, Chak-Ming, Chuang, Tzu-Hung, Wei, Der-Hsin, Lin, Wen-Chin, Jiang, Pei-hsun

We demonstrate the evolution of the micro-patterned magnetic domains in CoPd thin films pretreated with e-beam lithography and O2 plasma. During the days-long oxidation, significantly different behaviors of the patterned magnetic domains under magnet

Externí odkaz: http://arxiv.org/abs/2111.05767

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