Weilian li
Biographic Data
| ID | 6746118 |
|---|---|
| NAME | Weilian li |
| GIVEN NAMES | Weilian |
| FAMILY NAME | li |
| SIGNATURE | LI W |
| AFFILIATIONS | University of Bonn |
| ORCID | 0000-0003-3991-3002 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means algorithm have emerged as powerful tools for sorting through data collected from social media platforms. However, traditional k-means algorithms have drawbacks, including challenges in determining …
A large language model-based agent for wayfinding
How does spatial cognitive style affect indoor fire evacuation wayfinding in mobile virtual reality
In emergency situations such as fire evacuation, indoor wayfinding is a complex and challenging task that is closely related to spatial cognition and spatial ability. This study discusses the indoor wayfinding ability of evacuees from the perspective of spatial cognitive style. Spatial cognitive style can be divided into: landmark, route, survey (ordered from low to high). We measured the spatial cognitive style of participants, created a realist…
A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge
The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods have shortcomings, such as a long and costly deposit volume acquisition cycle, lack of knowledge and guidance, complex operations for scene modeling expression, and low scene rendering efficiency.…
A Knowledge Discovery Method for Landslide Monitoring Based on K-Core Decomposition and the Louvain Algorithm
Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references for landslide monitoring status analysis and disaster management. In the context of the large amount of network information, it is difficult to clearly determine and display the domain topic hiera…
An optimal selection method for debris flow scene symbols considering public cognition differences
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is p…
A Virtual Reality Simulation Method for Crowd Evacuation in a Multiexit Indoor Fire Environment
Evacuation simulations in virtual indoor fire scenes hold great significance for public safety. However, existing evacuation simulation methods are inefficient and provide poor visualized when applied to virtual reality (VR) simulations. Additionally, the influences of the interaction of evacuation processes on the choice of multiple exits have not been fully considered. In the paper, we propose a VR simulation method for crowd evacuation in a mu…
How does spatial cognitive style affect indoor fire evacuation wayfinding in mobile virtual reality
In emergency situations such as fire evacuation, indoor wayfinding is a complex and challenging task that is closely related to spatial cognition and spatial ability. This study discusses the indoor wayfinding ability of evacuees from the perspective of spatial cognitive style. Spatial cognitive style can be divided into: landmark, route, survey (ordered from low to high). We measured the spatial cognitive style of participants, created a realist…
A Virtual Reality Simulation Method for Crowd Evacuation in a Multiexit Indoor Fire Environment
Evacuation simulations in virtual indoor fire scenes hold great significance for public safety. However, existing evacuation simulation methods are inefficient and provide poor visualized when applied to virtual reality (VR) simulations. Additionally, the influences of the interaction of evacuation processes on the choice of multiple exits have not been fully considered. In the paper, we propose a VR simulation method for crowd evacuation in a mu…
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is p…
A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge
The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods have shortcomings, such as a long and costly deposit volume acquisition cycle, lack of knowledge and guidance, complex operations for scene modeling expression, and low scene rendering efficiency.…
A Knowledge Discovery Method for Landslide Monitoring Based on K-Core Decomposition and the Louvain Algorithm
Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references for landslide monitoring status analysis and disaster management. In the context of the large amount of network information, it is difficult to clearly determine and display the domain topic hiera…
An optimal selection method for debris flow scene symbols considering public cognition differences
How does spatial cognitive style affect indoor fire evacuation wayfinding in mobile virtual reality
In emergency situations such as fire evacuation, indoor wayfinding is a complex and challenging task that is closely related to spatial cognition and spatial ability. This study discusses the indoor wayfinding ability of evacuees from the perspective of spatial cognitive style. Spatial cognitive style can be divided into: landmark, route, survey (ordered from low to high). We measured the spatial cognitive style of participants, created a realist…
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means algorithm have emerged as powerful tools for sorting through data collected from social media platforms. However, traditional k-means algorithms have drawbacks, including challenges in determining …
A large language model-based agent for wayfinding
Computer Science (8 works) · Artificial Intelligence (5 works) · Geographic Information Systems Studies (4 works) · Geography (4 works) · Cognition (3 works) · Evacuation and Crowd Dynamics (3 works) · Human–computer interaction (3 works) · Psychology (3 works) · Algorithm (2 works) · Computer vision (2 works)