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Physics-informed Machine Learning of Parameterized Fundamental Diagrams
For simulated data, we generalize this relationship by introducing contextual information at the learning stage, i. e. vehicle composition, driver behavior, curb zoning configuration, etc, and show how the speed-flow relationship changes as a function of these exogenous factors independent of roadway design.
BIG-bench Machine Learning
Physics-informed machine learning
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs
Given data sources such as social media streams and web pages Entity Linking is the task of mapping named entities that are extracted from the data to those present in the Knowledge Graph.
