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Title: Fangzhou Cheng: Innovator in Prognostics and Anomaly Detection
Introduction
Fangzhou Cheng is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the fields of prognostics and anomaly detection, holding a total of 6 patents. His work focuses on developing systems and methods that enhance predictive capabilities and improve data analysis.
Latest Patents
Cheng's latest patents include innovative technologies such as a prognostics and health management service. This patent describes systems, methods, and apparatuses for selecting a model. The method involves receiving a request to perform model selection and evaluating multiple models by generating various metrics for each trained model. These metrics include forewarning time, event recall, event precision, and an area under a receiver operating characteristic (ROC) curve. A weighted harmonic mean is calculated from these metrics, leading to the selection of a model based on the calculated means, followed by the generation of a report on the selected model.
Another significant patent is the group masked autoencoder for anomaly detection. This technology implements an autoencoder network model that is trained without supervision. It outputs an estimated joint probability distribution of normality for a group of frames of time series data. The estimated distribution is used to determine an anomaly score, which helps in detecting anomalies based on the score.
Career Highlights
Fangzhou Cheng has worked with prominent organizations such as Palo Alto Research Center Inc. and Amazon Technologies, Inc. His experience in these companies has allowed him to refine his skills and contribute to groundbreaking innovations in technology.
Collaborations
Cheng has collaborated with talented individuals in his field, including Ritwik Giri and Srikanth Venkata Tenneti. These collaborations have fostered a creative environment that encourages the development of innovative solutions.
Conclusion
Fangzhou Cheng is a distinguished inventor whose work in prognostics and anomaly detection has led to significant advancements in technology. His contributions are shaping the future of predictive analytics and data management.