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Comparative Analysis of Machine Learning Methods in Vulnerability Metrics Transformation by Dmitry Levshun is a computer science book available to read on EtoBox.
What is Comparative Analysis of Machine Learning Methods in Vulnerability Metrics Transformation about?
<p>This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The
Who reads Comparative Analysis of Machine Learning Methods in Vulnerability Metrics Transformation?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Dmitry Levshun
- Publisher
- Springer Nature Switzerland AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031437915
- Category
- computer science
- Subjects
- Engineering, Science, Technology
- Updated
- 2026-03-25
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