Runjia Li
Biographic Data
| ID | 7948376 |
|---|---|
| NAME | Runjia Li |
| GIVEN NAMES | Runjia |
| FAMILY NAME | Li |
| SIGNATURE | LI R |
| AFFILIATIONS | China University of Geosciences |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning
The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently, compared to questionnaires, social media as a sensor provides low-cost and easy-to-access data sources, providing new opportunities for obtaining human daily activity category data. However, there a…
The school disciplinary system from the perspective of rule by law
No prominent works on this page.
The school disciplinary system from the perspective of rule by law
Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning
The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently, compared to questionnaires, social media as a sensor provides low-cost and easy-to-access data sources, providing new opportunities for obtaining human daily activity category data. However, there a…
Activity recognition (1 work) · Artificial Intelligence (1 work) · Benchmark (surveying (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Context-Aware Activity Recognition Systems (1 work) · Data science (1 work) · Deep learning (1 work) · Discipline (1 work) · Educational Reforms and Innovations (1 work)