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Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software - Information Fusion and Data Science Qilong Xue 2020 edition
Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software - Information Fusion and Data Science
Qilong Xue
This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them.
312 pages, 101 Illustrations, color; 48 Illustrations, black and white; XIII, 312 p. 149 illus., 101
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 31, 2019 |
| ISBN13 | 9783030340346 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 312 |
| Dimensions | 150 × 220 × 20 mm · 635 g |
| Language | German |
See all of Qilong Xue ( e.g. Hardcover Book and Paperback Book )
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