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Can I read Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data on EtoBox?
Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data by Ruobin Qi; Craig Rasband; Jun Zheng; Raul Longoria is a computer science book available to read on EtoBox.
What is Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data about?
<p>This volume presents the 17th International Conference on Information Technology—New Generations (ITNG), and chronicles an annual event on state of the art technologies for digital information and communications. The application of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and healthcare are among the themes explored by the ITNG proceedings. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and
Who reads Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Ruobin Qi; Craig Rasband; Jun Zheng; Raul Longoria
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030430214
- Category
- computer science
- Subjects
- Engineering, Mathematics, Computer Science
- Updated
- 2026-03-25
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