Buch, Englisch, Band 41, 622 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 972 g
Reihe: Lecture Notes on Data Engineering and Communications Technologies
Proceedings of the 16th International Conference on e-Business Engineering (ICEBE 2019)
Buch, Englisch, Band 41, 622 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 972 g
Reihe: Lecture Notes on Data Engineering and Communications Technologies
ISBN: 978-3-030-34985-1
Verlag: Springer International Publishing
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
Weitere Infos & Material
Semantic Document Classification based on Semantic Similarity Computation and Correlation Analysis.- An Equity-Based Incentive Mechanism for Decentralized Virtual World Content Storage.- A Group-Centric Physical Education Supporting System for Intelligent Campus Application.- Speech Evaluation based on Deep Learning Audio Caption.- Design a Distributed Fog Computing Scheme to Enhance Processing Performance in Real-Time IoT Applications.- Design Issues of a Hybrid Wrapping Attack Protecting Scheme in Cloud Computing Environment.- Towards Identification and Validation of Web Themes.- Mechanics and Quality of Agent-Informational Clustering in Social Networks.- IoT-Driven Business Model Innovation: A Case-Study on the Port of Barcelona in the Context of the Belt and Road Initiative.- Knowledge Graph Construction for Intelligent Maintenance of Power Plants.- Privacy as a Service: Anonymisation of NetFlow Traces.- Behavior-Item based Hybrid Intention-aware Frame for Sequence Recommendation.