Buch, Englisch, Band 994, 334 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 688 g
Buch, Englisch, Band 994, 334 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 688 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-030-87953-2
Verlag: Springer International Publishing
Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity.
This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
Weitere Infos & Material
Data Quality in the Era of Big Data: A Global Review.- Adversarial Machine Learning, Research Trends and Applications.- Multi-agent Systems for Distributed Data Mining Techniques: An Overview.- Time Series Data Analysis using Deep Learning methods for Smart Cities monitoring.- A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity using Deep Convolutional Neural Network.
