Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Oktober 2021
Genre:	EDV / Informatik
	ArtificialIntelligenceTechniques / bigdata / DataScience / Datenbanken / Datenmanagement / machinelearning / Structuraldamageassessment / Structuralhealthmonitoring
ISBN:	9783030817152
EAN-Code:	9783030817152
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 33 mm
Gewicht:	910 gr
Seiten:	500
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of ¿big datä availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.