Intelligent feature selection for machine learning using the dynamic wavelet fingerprint. (2020)
- Record Type:
- Book
- Title:
- Intelligent feature selection for machine learning using the dynamic wavelet fingerprint. (2020)
- Main Title:
- Intelligent feature selection for machine learning using the dynamic wavelet fingerprint
- Further Information:
- Note: Mark K. Hinders.
- Other Names:
- Hinders, Mark K, 1963-
- Contents:
- Background and history -- Intelligent structural health monitoring with ultrasonic lamb waves -- Automatic detection of flaws in recorded music -- Pocket depth determination with an ultrasonographic periodontal probe -- Spectral intermezzo: Spirit security systems -- Lamb wave tomographic rays in pipes -- Classification of RFID tags with wavelet fingerprinting -- Pattern classification for interpreting sensor data from a walking-speed robot -- Cranks and charlatans and deepfakes.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (346 pages)
- Subjects:
- 006.3/1
Machine learning
Biomedical engineering
Materials science
Automatic control engineering
Computer science
Imaging systems & technology
Technology & Engineering -- Biomedical
Technology & Engineering -- Material Science
Technology & Engineering -- Automation
Computers -- Computer Science
Technology & Engineering -- Electronics -- General
Machine learning
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9783030493950
- Related ISBNs:
- 9783030493943
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.514629
- Ingest File:
- 04_029.xml