1 option
Big Data Intelligence for Smart Applications / edited by Youssef Baddi, Youssef Gahi, Yassine Maleh, Mamoun Alazab, Loai Tawalbeh.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online
View online- Format:
- Book
- Series:
- Studies in Computational Intelligence, 1860-9503 ; 994
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Computational intelligence.
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Local Subjects:
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Physical Description:
- 1 online resource (343 pages)
- Edition:
- 1st ed. 2022.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- Summary:
- 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.
- Contents:
- 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.
- ISBN:
- 3-030-87954-2
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