Kaili Xu
Biographic Data
| ID | 7566607 |
|---|---|
| NAME | Kaili Xu |
| GIVEN NAMES | Kaili |
| FAMILY NAME | Xu |
| SIGNATURE | XU K |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0001-5054-1241 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Analysis and prediction of CO2 emissions from commercial energy consumption and emission reduction potential of renewable energy in China
The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share daily events, such as health and sport events. In fact, healthy diet recognition is an important and challenging problem in dish health assessment. Via the collection and monitoring of data pertaining to our daily diet, we can work in collaborative ways to achieve dish image annotation based on sIOT systems to enhance deep features. To this end, this article…
Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data
Background : Construction activities not only provide the necessary conditions for citizens to live, but also cause fatal accidents. Methods: This study aimed to reveal the characteristics of fatal accidents in the construction industry in China based on statistical data. From 2010 to 2019, there were 6005 fatal accidents in China's construction industry causing 7275 deaths. The important features of these fatal accidents, such as the type, time …
Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–Lopa to Protect Employee Health
Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect-Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objecti…
Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China
The metallurgical industry is a significant component of the national economy. The main purpose of this study was to establish a composite risk analysis method for fatal accidents in the metallurgical industry. We collected 152 fatal accidents in the Chinese metallurgical industry from 2001 to 2018, including 141 major accidents, 10 severe accidents, and 1 extraordinarily severe accident, together resulting in 731 deaths. Different from traffic o…
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Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–Lopa to Protect Employee Health
Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect-Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objecti…
Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China
The metallurgical industry is a significant component of the national economy. The main purpose of this study was to establish a composite risk analysis method for fatal accidents in the metallurgical industry. We collected 152 fatal accidents in the Chinese metallurgical industry from 2001 to 2018, including 141 major accidents, 10 severe accidents, and 1 extraordinarily severe accident, together resulting in 731 deaths. Different from traffic o…
Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data
Background : Construction activities not only provide the necessary conditions for citizens to live, but also cause fatal accidents. Methods: This study aimed to reveal the characteristics of fatal accidents in the construction industry in China based on statistical data. From 2010 to 2019, there were 6005 fatal accidents in China's construction industry causing 7275 deaths. The important features of these fatal accidents, such as the type, time …
The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share daily events, such as health and sport events. In fact, healthy diet recognition is an important and challenging problem in dish health assessment. Via the collection and monitoring of data pertaining to our daily diet, we can work in collaborative ways to achieve dish image annotation based on sIOT systems to enhance deep features. To this end, this article…
Analysis and prediction of CO2 emissions from commercial energy consumption and emission reduction potential of renewable energy in China
Engineering (4 works) · Business (3 works) · Mathematics (3 works) · Risk and Safety Analysis (3 works) · Statistics (3 works) · China (2 works) · Computer Science (2 works) · Environmental health (2 works) · Forensic engineering (2 works) · Geography (2 works)