Tien‐Yin Chou
Biographic Data
| ID | 8670330 |
|---|---|
| NAME | Tien‐Yin Chou |
| GIVEN NAMES | Tien‐Yin |
| FAMILY NAME | Chou |
| SIGNATURE | CHOU T Y |
| AFFILIATIONS | Feng Chia University |
| ORCID | 0000-0001-8676-7832 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
PM2.5 Concentration Prediction Model
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction and the regression ability of random forest (RF) to propose a novel CNN-RF ensemble framework for PM2.5 concentration modeling. The observational data from 13 monitoring stations in Kaohsiung in 2021 w…
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…
Geotargeting Protocol Standards
Geotargeting protocols are required for transmitting location‐based information from sensors, the Global Positioning System, and mobile devices that can provide their own location coordinates. Popular geotargeting protocol standards are GeoSMS, WaterML, and Sensor Web Enablement. These protocol standards have been applied in various applications, including disaster responses, taxi booking services, water resource management, and debris flow monit…
No prominent works on this page.
Geotargeting Protocol Standards
Geotargeting protocols are required for transmitting location‐based information from sensors, the Global Positioning System, and mobile devices that can provide their own location coordinates. Popular geotargeting protocol standards are GeoSMS, WaterML, and Sensor Web Enablement. These protocol standards have been applied in various applications, including disaster responses, taxi booking services, water resource management, and debris flow monit…
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…
PM2.5 Concentration Prediction Model
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction and the regression ability of random forest (RF) to propose a novel CNN-RF ensemble framework for PM2.5 concentration modeling. The observational data from 13 monitoring stations in Kaohsiung in 2021 w…
Computer Science (3 works) · Data Management and Algorithms (2 works) · Data mining (2 works) · Geographic Information Systems Studies (2 works) · Real-time computing (2 works) · Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work)