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查看 Scopus 资料
钱 昆
医学技术学院
h-index
1792
引用
27
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2009
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(118)
相似学者
(1)
指纹图谱
深入其中 Kun Qian 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Experimental Result
100%
Classifier
47%
Support Vector Machine
47%
Convolutional Neural Network
45%
Machine Learning
38%
Deep Neural Network
32%
Extreme Learning Machine
32%
Generative Adversarial Networks
28%
Data Augmentation
28%
Artificial Intelligence
28%
wavelet transformation
27%
Application Scenario
21%
Recurrent Neural Network
21%
speech corpus
20%
Acoustic Feature
20%
Classification Task
19%
Learning Approach
18%
Infant Vocalization
18%
Computer Vision
18%
Emotional State
18%
Active Learning
18%
Speech Analysis
18%
Autoencoder
18%
Feature Extraction
17%
Transfer Learning
16%
Audio Signal Processing
14%
Neural Network
14%
wavelet packet transform
14%
Unsupervised Learning
14%
classification result
14%
Based Active Learning
14%
Extracted Feature
14%
Supervised Learning
12%
Wearable Device
12%
Deep Recurrent Neural Network
12%
Aging Population
12%
Signal Processing
12%
Audio Recording
12%
Domain Knowledge
12%
Multilayer Perceptron
11%
Wavelet Transforms
11%
Deep Learning
11%
Good Performance
11%
Automatic Detection
11%
Depressed Patient
10%
Speech Processing
9%
Instance Learning
9%
Multiple Instance
9%
Average Student
9%
Assessment Criteria
9%
Engineering
Experimental Result
67%
Demonstrates
48%
Extreme Learning Machine
34%
Support Vector Machine
29%
Convolutional Neural Network
28%
Spectrogram
24%
Deep Learning
21%
Deep Neural Network
21%
Classification Performance
18%
Artificial Intelligence
18%
Multichannel
18%
Acoustic Feature
18%
Scalogram
16%
Autoencoder
16%
Transfer Learning
14%
Spectral Feature
14%
Recurrent Neural Network
14%
Breathing
14%
Classification Accuracy
14%
Obtains
14%
Nearest Neighbor
11%
Energy Engineering
11%
Graphics Processing Unit
11%
Heat Sink
9%
Thermoelectrics
9%
Learning Approach
9%
Biomedical Signal Processing
9%
Electricity Price
9%
Loss Function
9%
Decision Fusion
9%
Audio Recording
9%
Sound Source
9%
Recognition Model
9%
Crest Factor
9%
Conversion Formula
9%
Individual Subject
9%
Perceptron
9%
Three-Color Component
9%
Sound Generation
9%
Picture Carrier
9%
Spatial Information
9%
Load Profile
9%
Lateral Wall
9%
Extracted Feature
9%
Scheme Design
9%
Daily Load
9%
Energy Ratio
9%
Source Separation
9%
Thermal Energy
9%
Computer Aided Instruction
9%
