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查看斯高帕斯 (Scopus) 概要
柯 韋
Professor
Professor
,
Faculty of Applied Sciences
電話
8599 6452
電子郵件
wke
mpu.edu
mo
h-index
994
引文
17
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2009
2024
每年研究成果
概覽
指紋
網路
研究成果
(158)
新聞/媒體
(79)
類似的個人檔案
(6)
指紋
查看啟用 WEI KE 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Computer Science
3d Reconstruction
15%
Activation Function
18%
Appearance Model
15%
Artificial Intelligence
16%
Attention (Machine Learning)
49%
Average Accuracy
15%
Blockchain
16%
Bluetooth Low Energy
15%
Classification Accuracy
21%
Classification Performance
18%
Computer Vision
21%
Convolutional Neural Network
91%
data association
27%
Deep Learning Method
62%
Depth Estimation
30%
Discriminant Analysis
17%
Discriminative Feature
24%
Dynamic Time Warping
17%
Experimental Result
73%
Fast Convergence
16%
fault diagnose method
55%
Fault Diagnosis
42%
Feature Extraction
24%
Generative Adversarial Networks
15%
introductory programming course
15%
Learning System
17%
local feature
40%
Machine Learning
17%
Matching Model
15%
Model-Driven Engineering
17%
Motion Model
22%
Neural Network
47%
Object Detection
20%
Object Detector
15%
Person Re-Identification
68%
Positioning Algorithm
15%
Privacy Protection
15%
Received Signal Strength
19%
Recurrent Neural Network
21%
Reidentification
100%
Representation Learning
22%
Requirements Models
22%
Resource Allocation
15%
Software Development
19%
super resolution
45%
Text Classification
15%
Tracking (Position)
41%
Tracking Algorithm
20%
Tracking Object
45%
Type Systems
28%
Engineering
Activation Function
7%
Additional Training
7%
Adjacent Frame
7%
Allocation
7%
Angle-of-Arrival
7%
Angular Correlation
7%
Code Book
7%
Collected Data
8%
Compression Factor
9%
Compression Ratio
7%
Convolutional Neural Network
38%
Critical Application
7%
Deep Learning Method
41%
Deformable Body
7%
Detection Algorithm
7%
Energy Engineering
10%
Experimental Result
14%
Fault Diagnosis
45%
Feature Extraction
15%
Field Image
11%
Frequency Domain
7%
Frequency Part
7%
Image Coding
7%
Instantiation
7%
Learning System
8%
Level Feature
9%
Light Field
38%
Limitations
11%
Massive MIMO
7%
Matching Model
7%
Medical Image
7%
Metrics
9%
Morphological Filter
9%
Motion Model
7%
Multi--Target Tracking
7%
Multiscale
22%
Multistage
7%
Nearby Object
7%
Nearest Neighbor
15%
Partial Occlusion
7%
Polynomial Time
7%
Positioning Algorithm
15%
Rank Order
9%
Received Signal Strength
19%
Recurrent
15%
Rigid Structure
15%
Scale Cross
7%
Similarities
9%
Synthesis Method
7%
Tracking Algorithm
11%
