Xiaofeng Hu
Biographic Data
| ID | 7928128 |
|---|---|
| NAME | Xiaofeng Hu |
| GIVEN NAMES | Xiaofeng |
| FAMILY NAME | Hu |
| SIGNATURE | HU X |
| AFFILIATIONS | China People's Public Security University |
| ORCID | 0000-0003-3754-9913 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to the decision making of relevant departments under limited resources, as well as promotes civilized urb…
Risk analysis of stampede in sporting venues based on catastrophe theory and Bayesian network
Modeling and Risk Analysis of Chemical Terrorist Attacks
The chemical terrorist attack is an unconventional form of terrorism with vast scope of influence, strong concealment, high technical means and severe consequences. Chemical terrorism risk refers to the uncertainty of the effects of terrorist organisations using toxic industrial chemicals/drugs and classic chemical weapons to attack the population. There are multiple risk factors infecting chemical terrorism risk, such as the threat degree of ter…
Risk Assessment of Gas Leakage from School Laboratories Based on the Bayesian Network
In recent years, concerns about the safety of laboratories have been caused by several serious accidents in school laboratories. Gas leaks in the laboratory are often difficult to detect and cause serious consequences. In this study, a comprehensive model based on the Bayesian network is established for the assessment of the gas leaks evolution process and consequences in school laboratories. The model can quantitatively evaluate the factors affe…
No prominent works on this page.
Modeling and Risk Analysis of Chemical Terrorist Attacks
The chemical terrorist attack is an unconventional form of terrorism with vast scope of influence, strong concealment, high technical means and severe consequences. Chemical terrorism risk refers to the uncertainty of the effects of terrorist organisations using toxic industrial chemicals/drugs and classic chemical weapons to attack the population. There are multiple risk factors infecting chemical terrorism risk, such as the threat degree of ter…
Risk Assessment of Gas Leakage from School Laboratories Based on the Bayesian Network
In recent years, concerns about the safety of laboratories have been caused by several serious accidents in school laboratories. Gas leaks in the laboratory are often difficult to detect and cause serious consequences. In this study, a comprehensive model based on the Bayesian network is established for the assessment of the gas leaks evolution process and consequences in school laboratories. The model can quantitatively evaluate the factors affe…
An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to the decision making of relevant departments under limited resources, as well as promotes civilized urb…
Risk analysis of stampede in sporting venues based on catastrophe theory and Bayesian network
Computer Science (4 works) · Artificial Intelligence (3 works) · Bayesian network (3 works) · Risk and Safety Analysis (3 works) · Business (2 works) · Computer security (2 works) · Medicine (2 works) · Risk analysis (engineering (2 works) · Risk assessment (2 works) · Traffic and Road Safety (2 works)