Jiantao Liu
Biographic Data
| ID | 4417449 |
|---|---|
| NAME | Jiantao Liu |
| GIVEN NAMES | Jiantao |
| FAMILY NAME | Liu |
| SIGNATURE | LIU J |
| AFFILIATIONS | Shandong Jianzhu University |
| ORCID | 0000-0001-5836-5641 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Revealing the spatiotemporal response of air quality and public attention
Air quality plays a pivotal role in human health and well-being, with growing public awareness of its importance. However, the response relationship between air quality and public attention is unclear. Utilizing data from the Baidu Index, air quality, and demographic data, we developed the per capita public attention to air quality (PAAQ) index. Employing seasonal time series analysis, spatial analysis, spatial lag models, we examined the spatiot…
Mapping urban villages based on point-of-interest data and a deep learning approach
Efficient Construction of Voxel Models for Ore Bodies Using an Improved Winding Number Algorithm and Cuda Parallel Computing
The three-dimensional (3D) geological voxel model is essential for numerical simulation and resource calculation. However, it can be challenging due to the point in polygon test in 3D voxel modeling. The commonly used Winding number algorithm requires the manual setting of observation points and uses their relative positions to restrict the positive and negative solid angles. Therefore, we proposed the Winding number with triangle network coding …
Hdrlm3d
At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement learning-based model with human-like perceptron and policy for crowd evacuation in 3D environments (HDRLM3D). In HDRLM3D, we propose a vision-like ray perceptron (VLRP) and combine it with a redesigned gl…
Urban Green Plastic Cover Mapping Based on VHR Remote Sensing Images and a Deep Semi-Supervised Learning Framework
With the rapid process of both urban sprawl and urban renewal, large numbers of old buildings have been demolished in China, leading to wide spread construction sites, which could cause severe dust contamination. To alleviate the accompanied dust pollution, green plastic mulch has been widely used by local governments of China. Therefore, timely and accurate mapping of urban green plastic covered regions is of great significance to both urban env…
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Urban Green Plastic Cover Mapping Based on VHR Remote Sensing Images and a Deep Semi-Supervised Learning Framework
With the rapid process of both urban sprawl and urban renewal, large numbers of old buildings have been demolished in China, leading to wide spread construction sites, which could cause severe dust contamination. To alleviate the accompanied dust pollution, green plastic mulch has been widely used by local governments of China. Therefore, timely and accurate mapping of urban green plastic covered regions is of great significance to both urban env…
Hdrlm3d
At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement learning-based model with human-like perceptron and policy for crowd evacuation in 3D environments (HDRLM3D). In HDRLM3D, we propose a vision-like ray perceptron (VLRP) and combine it with a redesigned gl…
Efficient Construction of Voxel Models for Ore Bodies Using an Improved Winding Number Algorithm and Cuda Parallel Computing
The three-dimensional (3D) geological voxel model is essential for numerical simulation and resource calculation. However, it can be challenging due to the point in polygon test in 3D voxel modeling. The commonly used Winding number algorithm requires the manual setting of observation points and uses their relative positions to restrict the positive and negative solid angles. Therefore, we proposed the Winding number with triangle network coding …
Mapping urban villages based on point-of-interest data and a deep learning approach
Revealing the spatiotemporal response of air quality and public attention
Air quality plays a pivotal role in human health and well-being, with growing public awareness of its importance. However, the response relationship between air quality and public attention is unclear. Utilizing data from the Baidu Index, air quality, and demographic data, we developed the per capita public attention to air quality (PAAQ) index. Employing seasonal time series analysis, spatial analysis, spatial lag models, we examined the spatiot…
Artificial Intelligence (4 works) · Computer Science (4 works) · Geography (3 works) · Deep learning (2 works) · Engineering (2 works) · Environmental Science (2 works) · Land Use and Ecosystem Services (2 works) · Air Quality and Health Impacts (1 work) · Air quality index (1 work) · Algorithm (1 work)