Artificial Neural Network Modeling of Nanoparticles Assisted Enhanced Oil Recovery
The development of artificial neural network and deep learning algorithms in the last decade has provided a crucial development to solve complex mathematical modeling problems. The application of artificial neural network and deep learning algorithms to s
- PDF / 6,728,704 Bytes
- 155 Pages / 453.543 x 683.15 pts Page_size
- 31 Downloads / 238 Views
Samsul Ariffin Abdul Karim Nordin Saad Ramani Kannan Editors
Advanced Methods for Processing and Visualizing the Renewable Energy A New Perspective from Signal to Image Recognition
Studies in Systems, Decision and Control Volume 320
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control–quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer science, physics, economics, social and life sciences, as well as the paradigms and methodologies behind them. The series contains monographs, textbooks, lecture notes and edited volumes in systems, decision making and control spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output. ** Indexing: The books of this series are submitted to ISI, SCOPUS, DBLP, Ulrichs, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
More information about this series at http://www.springer.com/series/13304
Samsul Ariffin Abdul Karim Nordin Saad Ramani Kannan •
•
Editors
Advanced Methods for Processing and Visualizing the Renewable Energy A New Perspective from Signal to Image Recognition
123
Editors Samsul Ariffin Abdul Karim Fundamental and Applied Sciences Department, Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System Universiti Teknologi PETRONAS Seri Iskandar, Selangor, Malaysia
Nordin Saad Electrical and Electronic Engineering Department, Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System Universiti Teknologi PETRONAS Seri Iskandar, Selangor, Malaysia
Ramani Kannan Electrical and Electronic Engineering Department, Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System Universiti Teknologi PETRONAS Seri Iskandar, Selangor, Malaysia
ISSN 2198-4182 ISSN 2198-4190 (electronic) Studies in Systems, Decision and Control ISBN 978-981-15-8605-7 ISBN 978-981-15-8606-4 (eBook) https://doi.org/10.1007/978-981-15-8606-4 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 This work is subject to co
Data Loading...
