Zihui Huang
Biographic Data
| ID | 7184566 |
|---|---|
| NAME | Zihui Huang |
| GIVEN NAMES | Zihui |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG Z |
| AFFILIATIONS | Zhejiang Normal University |
| ORCID | 0000-0002-7119-547X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Applying Multiple Machine Learning Models to Classify Mild Cognitive Impairment from Speech in Community-Dwelling Older Adults
This study aims to develop effective screening tools for cognitive impairment by integrating optimised speech classification features with various machine learning models. A total of 65 patients diagnosed with early-stage Mild Cognitive Impairment (MCI) and 55 healthy controls (HCs) were included. Audio data were collected through a picture description task and processed using the Python-based Librosa library for speech feature extraction. Three …
Assessing fire resilience of historic districts
Implicit Positive Emotion Counteracts Ego Depletion
Previous researchers have shown that individual acts of self-regulation deplete individual psychological resources, resulting in poor subsequent self-regulation and ego depletion. It has also been shown that to counteract ego depletion, besides getting enough sleep or rest, positive emotions are important. In this study we aimed to establish whether or not implicit positive emotion is important in countering ego depletion. In 2 experiments measur…
No prominent works on this page.
Implicit Positive Emotion Counteracts Ego Depletion
Previous researchers have shown that individual acts of self-regulation deplete individual psychological resources, resulting in poor subsequent self-regulation and ego depletion. It has also been shown that to counteract ego depletion, besides getting enough sleep or rest, positive emotions are important. In this study we aimed to establish whether or not implicit positive emotion is important in countering ego depletion. In 2 experiments measur…
Assessing fire resilience of historic districts
Applying Multiple Machine Learning Models to Classify Mild Cognitive Impairment from Speech in Community-Dwelling Older Adults
This study aims to develop effective screening tools for cognitive impairment by integrating optimised speech classification features with various machine learning models. A total of 65 patients diagnosed with early-stage Mild Cognitive Impairment (MCI) and 55 healthy controls (HCs) were included. Audio data were collected through a picture description task and processed using the Python-based Librosa library for speech feature extraction. Three …
Architectural engineering (1 work) · Behavioral Health and Interventions (1 work) · Business (1 work) · Cartography (1 work) · Civil engineering (1 work) · Cognition (1 work) · Cognitive impairment (1 work) · Computer Science (1 work) · Dementia and Cognitive Impairment Research (1 work) · Developmental psychology (1 work)