‘From sensor data to smart decisions – big data analytics as the engine of networked systems’

Publication date: June 2019

This book shows how large, heterogeneous data streams from cyber-physical systems (CPS) and the Internet of Things (IoT) can be transformed into reliable decisions using modern machine learning methods. It provides a practical introduction to sensor signal processing, IoT gateways, optimisation and decision making, highlights use cases from mobility, smart cities and Industry 4.0 and covers everything from mathematical principles to edge implementations. Readers are provided with best practices, ‘winning stories’ and real-life case studies that trace the path from data acquisition to value creation. The book thus acts as a bridge between research, technology and application and supports companies in scaling data-driven CPS sustainably.

Publisher (Editors): Guido Dartmann (Trier University of Applied Sciences), Houbing Song (University of Maryland, Baltimore County), Anke Schmeink (RWTH Aachen University) – mit Beiträgen von über 40 internationalen Expert:innen aus Wissenschaft und Industrie

👉 „Bridges the gap between IoT, CPS, and mathematical modelling.“