Buch, Englisch, 346 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 705 g
Buch, Englisch, 346 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 705 g
ISBN: 978-3-030-49394-3
Verlag: Springer International Publishing
Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic.
Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
Weitere Infos & Material
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.