Xiaojun Kang
Datos Biográficos
| ID | 7948377 |
|---|---|
| NOMBRE | Xiaojun Kang |
| NOMBRES | Xiaojun |
| APELLIDO | Kang |
| FIRMA | KANG X |
| AFILIACIONES | China University of Geosciences |
| ORCID | 0000-0002-5628-0545 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2019 |
| ÍNDICE H | 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…
Sin obras prominentes en esta página.
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 obra) · Artificial Intelligence (1 obra) · Benchmark (surveying (1 obra) · Complex Network Analysis Techniques (1 obra) · Computer Science (1 obra) · Context-Aware Activity Recognition Systems (1 obra) · Data science (1 obra) · Deep learning (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Machine learning (1 obra)