Fei Hu

Orcid: 0000-0001-5231-2303

Affiliations:
  • George Mason University, NSF Spatiotemporal Innovation Center, Fairfax, VA, USA


According to our database1, Fei Hu authored at least 14 papers between 2016 and 2020.

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Bibliography

2020
SOVAS: a scalable online visual analytic system for big climate data analysis.
Int. J. Geogr. Inf. Sci., 2020

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data.
Int. J. Digit. Earth, 2020

2019
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Utilizing MapReduce to Improve Probe-Car Track Data Mining.
ISPRS Int. J. Geo Inf., 2018

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example.
ISPRS Int. J. Geo Inf., 2018

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data.
ISPRS Int. J. Geo Inf., 2018

ClimateSpark: An in-memory distributed computing framework for big climate data analytics.
Comput. Geosci., 2018

Towards intelligent geospatial data discovery: a machine learning framework for search ranking.
Int. J. Digit. Earth, 2018

2017
Utilizing Cloud Computing to address big geospatial data challenges.
Comput. Environ. Urban Syst., 2017

A high performance query analytical framework for supporting data-intensive climate studies.
Comput. Environ. Urban Syst., 2017

A High Performance, Spatiotemporal Statistical Analysis System Based on a Spatiotemporal Cloud Platform.
ISPRS Int. J. Geo Inf., 2017

A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce.
Int. J. Geogr. Inf. Sci., 2017

Big Data and cloud computing: innovation opportunities and challenges.
Int. J. Digit. Earth, 2017

2016
Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data.
ISPRS Int. J. Geo Inf., 2016


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