Apache Spark utilities to analyze mobile network deployment and user behavior data.
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Updated
Jun 24, 2017 - Scala
Apache Spark utilities to analyze mobile network deployment and user behavior data.
The Core infrastructure micro-service of the SpatioTemporal Features eXtractor (stfX)
traffic flow prediction
An Efficient Estimation Method for Semiparametric Models of Spatial-Temporal Data
A tool to quantify the spatio-temporal continuity of sparse data
traffic flow prediction
traffic flow prediction
traffic flow prediction
traffic flow prediction
Python scripts to visualize multi-band gridded data.
An R package to go along with my PhD research
PurpleAirSF: datasets for realistic air quality forecasting
Code for "Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks" accepted by TMLR 2023
R Interface for Spatial Data in the RMBL Spatial Data Platform
traffic flow prediction
This project utilizes advanced deep learning techniques to automatically generate contextually relevant captions for videos by extracting spatial and temporal features, while incorporating Gaussian attention to focus on important regions. This enhances video indexing, retrieval, and accessibility for visually impaired individuals.
traffic flow prediction
Spatial compression of multivariate datasets for xarray
A program to create RDF and RDF* knowledge graphs from the ouput of a simulation model of patients movements inside a hospital. Since the simulation model has an incomplete hospital layout, HospitalGeneratorRDF also creates a complete hospital layout (rooms, corridors, areas, floors, etc.).
Analysis code for understanding the activities of graph-structured systems, such as development in cultures of dissociated cortical cultures.
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