Knowledge-empowered real-time event-centric situational analysis

TitleKnowledge-empowered real-time event-centric situational analysis
Publication TypePresentation
Year of Publication2018
AuthorsAmit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin
VenueNSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018
KeywordsBig Data, multimodal, Tensorflow, Transfer learning
Abstract

Knowledge-empowered real-time event-centric situational analysis:
1. Motivation and Objective: Making sense of heterogeneous multimodal big data
2. Architecture and Approach: Transfer learning Tensorflow model inference combined with location information and elevation data
3. Preliminary Outcome: Retrained models performance, object detection performance
4. Future Work: Develop heuristics to estimate flooding level
5. References

Projects: 
Knowledge