Zhenghua Zhang
Biographic Data
| ID | 8413616 |
|---|---|
| NAME | Zhenghua Zhang |
| GIVEN NAMES | Zhenghua |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Z |
| AFFILIATIONS | Liaoning Normal University |
| ORCID | 0000-0001-9335-7022 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Hyperspectral Image Classification Network Based on 3D Octave Convolution and Multiscale Depthwise Separable Convolution
Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral–spatial information. While convolutional neural networks (CNNs) have notably enhanced HSI classification, they often generate redundant spatial features. To address this, we introduce a novel HSI classification method, OMDSC, employing 3D Octave convolution combined with multiscale depthwise separable convolutional networks. This method initially utilizes 3D Octa…
Musical training improves rhythm integrative processing of classical Chinese poem
Long-term rigorous musical training changes the brain structure and function, which impacts speech processing. Many studies have demonstrated that subcortical and cortical neural plasticity interact to give musicians linguistic advantages, allowing them to construct more elaborate perceptions of speech signals than non-musicians. There is ample empirical support for integrative processing at the end of a sentence. Studies have found that particip…
No prominent works on this page.
Musical training improves rhythm integrative processing of classical Chinese poem
Long-term rigorous musical training changes the brain structure and function, which impacts speech processing. Many studies have demonstrated that subcortical and cortical neural plasticity interact to give musicians linguistic advantages, allowing them to construct more elaborate perceptions of speech signals than non-musicians. There is ample empirical support for integrative processing at the end of a sentence. Studies have found that particip…
Hyperspectral Image Classification Network Based on 3D Octave Convolution and Multiscale Depthwise Separable Convolution
Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral–spatial information. While convolutional neural networks (CNNs) have notably enhanced HSI classification, they often generate redundant spatial features. To address this, we introduce a novel HSI classification method, OMDSC, employing 3D Octave convolution combined with multiscale depthwise separable convolutional networks. This method initially utilizes 3D Octa…
Computer Science (2 works) · Advanced Image Fusion Techniques (1 work) · Aesthetics (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Classical music (1 work) · Cognitive psychology (1 work) · Communication (1 work) · Convolutional neural network (1 work)