A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing-Reference-Cited by-同舟云学术

A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing

Author:

Yue Peng¹²³⁴^ORCID,Gao Fan¹,Shangguan Boyi¹,Yan Zheren¹

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, Hubei, China

3. Hubei Province Engineering Center for Intelligent Geoprocessing (HPECIG), Wuhan University, Wuhan, Hubei, China

4. Collaborative Innovation Center of Geospatial Technology, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Wuhan Yellow Crane Talents (Science) Program

Hubei Provincial Natural Science Foundation of China

Major State Research Development Program of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

Reference55 articles.

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