Sequence Adaptation Adversarial Network for Remaining Useful Life Prediction Using Small Data Set
My name is Haixin Lv. And my email is firstname.lastname@example.org. I received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2019, and is currently working toward the M.S. degree in mechanical engineering in the State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University. My research interests include application of transfer learning in fault diagnosis of machinery and remaining useful life prediction of equipment.
Fast Anomaly Detection in Micro Data Centers Using Machine Learning Techniques
Negin Piran Nanekaran
Negin Piran Nanekaranis a graduate student in Electrica l Engineering at the McMaster University, Canada. The focus of her MSc thesis is predictive maintenance and anomaly detection in micro data centers. She is interested in data science and anomaly detection for different businesses and industries.
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