Yaozhi Liu
Biographic Data
| ID | 7961316 |
|---|---|
| NAME | Yaozhi Liu |
| GIVEN NAMES | Yaozhi |
| FAMILY NAME | Liu |
| SIGNATURE | LIU Y |
| AFFILIATIONS | North Sichuan Medical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A prediction method for wine customer consumption behavior using data enhancement and attention-based CNN-LSTM
Purpose This study aims to address the challenge of low prediction accuracy in wine consumer behavior due to poor data quality and the limitations of traditional statistical models in capturing nonlinear relationships. It proposes a deep learning approach combining data augmentation and an Attention-based CNN-LSTM model to enhance the precision of consumer behavior prediction in China’s wine market. Design/methodology/approach The research integr…
Five differentially expressed proteins identified to serve as potential blood biomarkers for schizophrenia screening based on proteomics
Our research indicates that neural cell adhesion molecule L1, integrin alpha-M, alpha-actinin-1, filamin-A and profilin-1 which are associated with cytoskeleton, synapse and immunity were preliminarily screened as candidate protein markers for schizophrenia. Moreover, mitogen-activated protein kinase signaling pathway may be related to the pathology of schizophrenia, and PI3K-Akt signaling pathway may be related to the efficacy and side effects o…
No prominent works on this page.
A prediction method for wine customer consumption behavior using data enhancement and attention-based CNN-LSTM
Purpose This study aims to address the challenge of low prediction accuracy in wine consumer behavior due to poor data quality and the limitations of traditional statistical models in capturing nonlinear relationships. It proposes a deep learning approach combining data augmentation and an Attention-based CNN-LSTM model to enhance the precision of consumer behavior prediction in China’s wine market. Design/methodology/approach The research integr…
Five differentially expressed proteins identified to serve as potential blood biomarkers for schizophrenia screening based on proteomics
Our research indicates that neural cell adhesion molecule L1, integrin alpha-M, alpha-actinin-1, filamin-A and profilin-1 which are associated with cytoskeleton, synapse and immunity were preliminarily screened as candidate protein markers for schizophrenia. Moreover, mitogen-activated protein kinase signaling pathway may be related to the pathology of schizophrenia, and PI3K-Akt signaling pathway may be related to the efficacy and side effects o…
Advanced Proteomics Techniques and Applications (1 work) · Antipsychotic (1 work) · Artificial neural network (1 work) · Boosting (machine learning) (1 work) · Cell adhesion (1 work) · Cell adhesion molecule (1 work) · Cell Signaling (1 work) · Cluster analysis (1 work) · Curse of dimensionality (1 work) · Dimensionality reduction (1 work)