Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 417 g
Modeling Techniques and Applications
Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 417 g
Reihe: Green Engineering and Technology
ISBN: 978-0-367-63982-2
Verlag: CRC Press
Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies.
This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving.
This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing.
Zielgruppe
Academic and Professional
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
Part I: Green Computing Basics. 1. Use of Green Computing. 2. Design of Green Computing. Part II: Cognitive Science and Blockchain Base Distributed Network. 3. Cognitive Wireless Network. 4. Parallel and Distributed Computing in Cognitive Science. 5. Cognitive Analytics After Big Data Analytics and Machine Learning. Part III: Deep learning based Cognitive Robotics and Security. 6. Cognitive Science Based Business Analytics. 7. Security and Privacy for Internet of Things (IoT). 8. Shaping the Wireless Network as Cognitive Robotics. Part IV: Blockchain and Cryptocurrencies. 9. Blockchain and Decentralized Applications. 10. Blockchain in IoT and Edge Computing. Part V: Machine learning Applications. 11. Intelligent Robots with Biometic Neural Learning. 12. Deep Reasoning by Cognitive Robots and Wireless Networks.
