Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis
Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.
The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance.
The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of:
Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
| ISBN: | 9781119682424 |
| Publication date: | 2nd December 2021 |
| Author: | Annamalai Suresh, R Udendran, M S Irfan Ahmed |
| Publisher: | Wiley-IEEE Press an imprint of Wiley |
| Format: | Hardback |
| Pagination: | 250 pages |
| Series: | IEEE Press |
| Genres: |
Electronics and communications engineering |
Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis
Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.
The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance.
The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of:
Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
Sensor Data Analysis and Management features in the following genres: Electronics and communications engineering
Sensor Data Analysis and Management is available in Hardback
Sensor Data Analysis and Management was written by Annamalai Suresh, R Udendran, M S Irfan Ahmed and published by Wiley-IEEE Press an imprint of Wiley
Sensor Data Analysis and Management has 250 pages
Yes it is part of IEEE Press series
£99.86