Honghao Zhu
Biographic Data
| ID | 10055179 |
|---|---|
| NAME | Honghao Zhu |
| GIVEN NAMES | Honghao |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU H |
| AFFILIATIONS | Bengbu Medical College |
| ORCID | 0000-0003-4088-7980 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The effects of smart learning environments on learning outcomes
Smart learning environments (SLEs) have been widely adopted in education, yet empirical studies report inconsistent findings regarding their effects on learning outcomes (LOs). This study aimed to systematically evaluate the overall effectiveness of SLEs and examine potential moderating factors influencing their impact. A systematic review and meta-analysis were conducted following PRISMA guidelines. Relevant studies were identified through compr…
Nus
Since minority samples are substantially less common than majority samples, many industrial applications, such as credit card fraud detection (CCFD) and defective part identification, call for imbalanced classification. The performance of a classifier tends to suffer from the noisy samples in majority or minority classes. This work proposes a new undersampling scheme, called a clustering-based noisy-sample-removed undersampling scheme (NUS) for i…
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Nus
Since minority samples are substantially less common than majority samples, many industrial applications, such as credit card fraud detection (CCFD) and defective part identification, call for imbalanced classification. The performance of a classifier tends to suffer from the noisy samples in majority or minority classes. This work proposes a new undersampling scheme, called a clustering-based noisy-sample-removed undersampling scheme (NUS) for i…
The effects of smart learning environments on learning outcomes
Smart learning environments (SLEs) have been widely adopted in education, yet empirical studies report inconsistent findings regarding their effects on learning outcomes (LOs). This study aimed to systematically evaluate the overall effectiveness of SLEs and examine potential moderating factors influencing their impact. A systematic review and meta-analysis were conducted following PRISMA guidelines. Relevant studies were identified through compr…
Artificial Intelligence (1 work) · Blinding (1 work) · Checklist (1 work) · Classification scheme (1 work) · Cognition (1 work) · Computer Science (1 work) · Computer security (1 work) · Credit card (1 work) · Credit card fraud (1 work) · Critical appraisal (1 work)