Sichao Chen
Biographic Data
| ID | 6305853 |
|---|---|
| NAME | Sichao Chen |
| GIVEN NAMES | Sichao |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN S |
| AFFILIATIONS | Zhejiang Gongshang University |
| ORCID | 0000-0002-7361-157X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Multimodal destination image and user engagement
A Combined Weighting Based Large Scale Group Decision Making Framework for Mooc Group Recommendation
Outlier identification and group satisfaction of rating experts
Group satisfaction is a trending issue in large-scale group decision-making (LSGDM) but most existing studies maximize the group satisfaction of LSGDM from the perspective of consensus. However, the clustering algorithm in LSGDM also has an impact on group satisfaction. Hence, this paper proposes a density-based spatial clustering of applications with noise (DBSCAN)-based LSGDM approach in an intuitionistic fuzzy set (IFS) environment. The DBSCAN…
Decreased CO2 Levels as Indicators of Possible Mechanical Ventilation-Induced Hyperventilation in Covid-19 Patients
Background: Six months since the outbreak of coronavirus disease (COVID-19), the pandemic continues to grow worldwide, although the outbreak in Wuhan, the worst-hit area, has been controlled. Thus, based on the clinical experience in Wuhan, we hypothesized that there is a relationship between the patient's CO 2 levels and prognosis. Methods: COVID-19 patients' information was retrospectively collected from medical records at the Leishenshan Hospi…
Decreased CO2 Levels as Indicators of Possible Mechanical Ventilation-Induced Hyperventilation in Covid-19 Patients
Background: Six months since the outbreak of coronavirus disease (COVID-19), the pandemic continues to grow worldwide, although the outbreak in Wuhan, the worst-hit area, has been controlled. Thus, based on the clinical experience in Wuhan, we hypothesized that there is a relationship between the patient's CO 2 levels and prognosis. Methods: COVID-19 patients' information was retrospectively collected from medical records at the Leishenshan Hospi…
A Combined Weighting Based Large Scale Group Decision Making Framework for Mooc Group Recommendation
Outlier identification and group satisfaction of rating experts
Group satisfaction is a trending issue in large-scale group decision-making (LSGDM) but most existing studies maximize the group satisfaction of LSGDM from the perspective of consensus. However, the clustering algorithm in LSGDM also has an impact on group satisfaction. Hence, this paper proposes a density-based spatial clustering of applications with noise (DBSCAN)-based LSGDM approach in an intuitionistic fuzzy set (IFS) environment. The DBSCAN…
Multimodal destination image and user engagement
Computer Science (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Machine learning (2 works) · Psychology (2 works) · Advanced Computing and Algorithms (1 work) · Advertising (1 work) · Business (1 work) · Cartography (1 work) · Cluster analysis (1 work)