Buch, Englisch, Band 114, 452 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 703 g
Proceedings of ITAF 2019
Buch, Englisch, Band 114, 452 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 703 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-15-3074-6
Verlag: Springer Nature Singapore
This book is a collection of the best research papers presented at the First World Conference on Internet of Things: Applications & Future (ITAF 2019), Sponsored by GR Foundation and French University in Egypt, held at Triumph Luxury Hotel, Cairo, Egypt, on 14–15 October 2019. It includes innovative works from leading researchers, innovators, business executives, and industry professionals that cover the latest advances in and applications for commercial and industrial end users across sectors within the emerging Internet of Things ecosphere. It addresses both current and emerging topics related to the Internet of Things such as big data research, new services and analytics, Internet of Things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
Weitere Infos & Material
Chapter 1. Geolocalitysim: Geographical Cloud Simulator with Data Locality.- Chapter 2. Trustworthy Self-Protection for Data Auditing in Cloud Computing Environment.- Chapter 3. Review of Different Image Fusion Techniques: Comparative Study.- Chapter 4. Cloud Technology: Conquest of Commercial Space Business.- Chapter 5. Survey of Machine Learning Approaches of Anti–Money Laundering Techniques to Counter Terrorism Finance.- Chapter 6. Enhancing IoT Botnets Attack Detection Using Machine Learning-IDS and Ensemble Data Preprocessing Technique.- Chapter 7. Mobile Application for Diagnose Cancer and Heart Disease.- Chapter 8. LL1 as a Property is not Enough for Obtaining Proper Parsing.- Chapter 9. Mixed Reality Applications Powered by IoE and Edge Computing: A Survey.- Chapter 10. Computer-Assisted Audit Tools for IS Auditing.