This technology represents interdisciplinary research and development results, combining monitoring information to construct a multi-scale digital twin for disaster prevention. The techniques include cloud information retrieval of satellite remote sensing, machine learning for predicting of nighttime cloud conditions, and the construction of 3D volumetric cloud renderi
ng. These components are integrated into the application of web and allowed for widespread dissemination.
Application of natural language technology to build AI automation to ma nage infectious disease pathogen thematic database
Image recognition technology in the hazard prevention of dangerous operations
Design and Implementation of Mining Purchasing Datasets for Purchasing Behavior Prediction and EDM Title Generation
The Application of Integrated Ground-based and Airborne LiDAR in Slope Disaster Investigation
Technology maturity:Experiment stage
Exhibiting purpose:Display of scientific results
Trading preferences:Negotiate by self
Coming soon!