Thanh Van Hoang
Biographic Data
| ID | 7999528 |
|---|---|
| NAME | Thanh Van Hoang |
| GIVEN NAMES | Thanh |
| FAMILY NAME | Van Hoang |
| SIGNATURE | VAN HOANG T |
| AFFILIATIONS | Feng Chia University |
| ORCID | 0000-0003-1869-7726 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Spatial extrapolation in soil salinity and future land cover using hybrid machine learning and land change modeler
Soil salinity is a major ecological challenge that affects agricultural productivity, posed significant challenges on the ecological system, especially in the deltaic region vulnerable to human alterations and sea level rise. Assessing agricultural areas impacted by soil salinity change is very important to support decision-makers or planners in sustainable land use planning. To overcome limitations in current spatial extrapolation methods for a …
Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching
Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly wi…
No prominent works on this page.
Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching
Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly wi…
Spatial extrapolation in soil salinity and future land cover using hybrid machine learning and land change modeler
Soil salinity is a major ecological challenge that affects agricultural productivity, posed significant challenges on the ecological system, especially in the deltaic region vulnerable to human alterations and sea level rise. Assessing agricultural areas impacted by soil salinity change is very important to support decision-makers or planners in sustainable land use planning. To overcome limitations in current spatial extrapolation methods for a …
Algorithm (1 work) · Automated Road and Building Extraction (1 work) · Automotive Engineering (1 work) · Computation (1 work) · Computer Science (1 work) · Data Management and Algorithms (1 work) · Data mining (1 work) · Delta (1 work) · Engineering (1 work) · Extrapolation (1 work)