Yingzhi Wang
Biographic Data
| ID | 3861643 |
|---|---|
| NAME | Yingzhi Wang |
| GIVEN NAMES | Yingzhi |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Ningbo University |
| ORCID | 0000-0002-6229-2008 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Ltvpga
Traffic violations, the primary cause of road accidents, threaten public safety by disrupting traffic flow and causing substantial casualties and economic losses. Accurate spatiotemporal prediction of violations offers critical insights for proactive traffic management. While Graph Attention Network (GAT) methods excel in spatiotemporal forecasting, their practical deployment is hindered by prohibitive computational costs when handling dynamic la…
Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion
Real-scene 3D digital campuses are essential for improving the accuracy and effectiveness of spatial data representation, facilitating informed decision-making for university administrators, optimizing resource management, and enriching user engagement for students and faculty. However, current approaches to constructing these digital environments face several challenges. They often rely on costly commercial platforms, struggle with integrating h…
Gatr
Prediction of traffic violations plays a key role in transportation safety. Combining with deep learning to predict traffic violations has become a new development trend. However, existing methods are based on regular spatial grids which leads to a fuzzy spatial expression and ignores the strong correlation between traffic violations and road network. A spatial topological graph can express the spatiotemporal correlation more accurately and then …
Effectiveness of the Orff and Kodaly methods for the development of musical ability in preschool children compared to a standard curriculum ( La eficacia de los métodos Orff y Kodaly para el desarroll…
The purpose of the study is to examine the level of the development of musical abilities of children studying music based on the ideas of Orff and Kodaly compared to a standard curriculum. In order to examine the level of musical ability before and after the experiment, the Primary Measures of Music Audiation (PMMA) method was used. Based on the t-test, it was determined that there was no statistically significant difference between the pre- and …
Postmodernism in Ukrainian music
The article is devoted to the analysis of the vocal cycle of the modern Ukrainian composer "Quiet Songs", which is considered in the context of Ukrainian music of the 1970s. The main features of its poetics as a transitional phenomenon between avant-garde and postmodernism are revealed: meditativeness, uncertainty, blurring of the composition, variability of the rhythmic structure, intertextuality, polystylistic, reflexivity, self-absorption, etc…
Effects of Piano Training on Psychophysiological Development of Primary School Children
The aim of this work is to study the supposed influence of piano training on the underlying indicators of psychophysiological development in children aged 7 years (n=110). There were more children with right hand dominance among those who received piano training. It was found that piano players achieved a higher level of maturation of the functional brain structures. Children receiving piano training demonstrated stronger activation of the anteri…
Effectiveness of the Orff and Kodaly methods for the development of musical ability in preschool children compared to a standard curriculum ( La eficacia de los métodos Orff y Kodaly para el desarroll…
The purpose of the study is to examine the level of the development of musical abilities of children studying music based on the ideas of Orff and Kodaly compared to a standard curriculum. In order to examine the level of musical ability before and after the experiment, the Primary Measures of Music Audiation (PMMA) method was used. Based on the t-test, it was determined that there was no statistically significant difference between the pre- and …
Effects of Piano Training on Psychophysiological Development of Primary School Children
The aim of this work is to study the supposed influence of piano training on the underlying indicators of psychophysiological development in children aged 7 years (n=110). There were more children with right hand dominance among those who received piano training. It was found that piano players achieved a higher level of maturation of the functional brain structures. Children receiving piano training demonstrated stronger activation of the anteri…
Effectiveness of the Orff and Kodaly methods for the development of musical ability in preschool children compared to a standard curriculum ( La eficacia de los métodos Orff y Kodaly para el desarroll…
The purpose of the study is to examine the level of the development of musical abilities of children studying music based on the ideas of Orff and Kodaly compared to a standard curriculum. In order to examine the level of musical ability before and after the experiment, the Primary Measures of Music Audiation (PMMA) method was used. Based on the t-test, it was determined that there was no statistically significant difference between the pre- and …
Postmodernism in Ukrainian music
The article is devoted to the analysis of the vocal cycle of the modern Ukrainian composer "Quiet Songs", which is considered in the context of Ukrainian music of the 1970s. The main features of its poetics as a transitional phenomenon between avant-garde and postmodernism are revealed: meditativeness, uncertainty, blurring of the composition, variability of the rhythmic structure, intertextuality, polystylistic, reflexivity, self-absorption, etc…
Gatr
Prediction of traffic violations plays a key role in transportation safety. Combining with deep learning to predict traffic violations has become a new development trend. However, existing methods are based on regular spatial grids which leads to a fuzzy spatial expression and ignores the strong correlation between traffic violations and road network. A spatial topological graph can express the spatiotemporal correlation more accurately and then …
Ltvpga
Traffic violations, the primary cause of road accidents, threaten public safety by disrupting traffic flow and causing substantial casualties and economic losses. Accurate spatiotemporal prediction of violations offers critical insights for proactive traffic management. While Graph Attention Network (GAT) methods excel in spatiotemporal forecasting, their practical deployment is hindered by prohibitive computational costs when handling dynamic la…
Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion
Real-scene 3D digital campuses are essential for improving the accuracy and effectiveness of spatial data representation, facilitating informed decision-making for university administrators, optimizing resource management, and enriching user engagement for students and faculty. However, current approaches to constructing these digital environments face several challenges. They often rely on costly commercial platforms, struggle with integrating h…
Artificial Intelligence (3 works) · Computer Science (3 works) · Art (2 works) · Children's Physical and Motor Development (2 works) · Data mining (2 works) · Database (2 works) · Diverse Music Education Insights (2 works) · Graph (2 works) · History (2 works) · Literature (2 works)