Linshu Hu
Biographic Data
| ID | 6309245 |
|---|---|
| NAME | Linshu Hu |
| GIVEN NAMES | Linshu |
| FAMILY NAME | Hu |
| SIGNATURE | HU L |
| AFFILIATIONS | Zhejiang University |
| ORCID | 0000-0003-0015-0570 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
DCPMS
Raster data represent one of the fundamental data formats utilized in GIS. As the technology used to observe the Earth continues to evolve, the spatial and temporal resolution of raster data is becoming increasingly refined, while the data scale is expanding. One of the key issues in the development of GIS technology is to determine how to make large-scale raster data better to provide computation, visualization, and analysis services in the Inte…
Slbrin
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates at the cost of query performance. We propose a novel spatial learned index structure based on a Block Range Index (SLBRIN for short). Its core idea is to cooperate history range and current range …
Perception of urban population characteristics through dietary taste patterns based on takeout data
No prominent works on this page.
Perception of urban population characteristics through dietary taste patterns based on takeout data
Slbrin
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates at the cost of query performance. We propose a novel spatial learned index structure based on a Block Range Index (SLBRIN for short). Its core idea is to cooperate history range and current range …
DCPMS
Raster data represent one of the fundamental data formats utilized in GIS. As the technology used to observe the Earth continues to evolve, the spatial and temporal resolution of raster data is becoming increasingly refined, while the data scale is expanding. One of the key issues in the development of GIS technology is to determine how to make large-scale raster data better to provide computation, visualization, and analysis services in the Inte…
Computer Science (3 works) · Data Management and Algorithms (2 works) · Spatial analysis (2 works) · 3D Modeling in Geospatial Applications (1 work) · Automated Road and Building Extraction (1 work) · Biology (1 work) · Business (1 work) · China (1 work) · Consumption (sociology (1 work) · Data mining (1 work)