Jianwen Ai

According to our database¹, Jianwen Ai authored at least 18 papers between 2008 and 2020.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2020

Oversampling Algorithm based on Reinforcement Learning in Imbalanced Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2011

Grid-enabled high-performance quantitative aerosol retrieval from remotely sensed data.

[BibT_eX]

[DOI]

Comput. Geosci., 2011

A high throughput geocomputing system for remote sensing quantitative retrieval and a case study.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2011

2010

Workload and task management of Grid-enabled quantitative aerosol retrieval from remotely sensed data.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2010

Aerosol optical thickness from modis data at 500M resolution for two extreme aerosol events analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Aerosol optical depth retrieval over land using MODIS data and its application in detection of dust event.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Monitoring the heavy fog using AOD derived from MODIS data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A flexible abstract graphical grid workflow data structure for remote sensing quantitative retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Aerosol Optical Depth Retrieval over Land using MODIS Data and its Application in Monitoring Air Quality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Synthetic Retrieval of Aerosol Optical Depth and Surface Reflectance using Terra and Aqua Platforms in Semi-arid Regions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

A Dynamic Grid Workflow for Remote Sensing Quantitative Retrieval Service.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Grid Workflow Modeling for Remote Sensing Retrieval Service with Tight Coupling.

[BibT_eX]

[DOI]

Proceedings of the Computational Science, 2009

2008

Quantitative Retrieval of Geophysical Parameters Using Satellite Data.

[BibT_eX]

[DOI]

Computer, 2008

A New Study of Detecting Biomass Burning Employing MODIS Data Applying Broadband Aerosol Optical Thickness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Grid Enabled Simultaneous Retrieval of Aerosol and Ground Surface Reflectance from Integration of AERONET and Satellite Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Fast Aerosol Optical Depth Retrieval from MODIS.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

The Design of Dynamic Grid Workflow Web Portal for Remote Sensing Information Service.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

High Performance Geocomputation - Preface.

[BibT_eX]

[DOI]

Proceedings of the Computational Science, 2008

Jianwen Ai

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