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查看斯高帕斯 (Scopus) 概要
林 智揚
教授
機械工程學系
https://orcid.org/0000-0002-0401-8473
電子郵件
andrewlin
ncu.edu
tw
網站
https://www.me.ncu.edu.tw/portfolio-item/%E6%9E%97%E6%99%BA%E6%8F%9A/
h-index
1980
引文
23
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。
2001 …
2027
每年研究成果
概覽
指紋
網路
研究計畫
(8)
研究成果
(207)
類似的個人檔案
(6)
指紋
查看啟用 Chih-Yang Lin 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
Experimental Result
100%
Deep Learning Method
69%
Object Detection
51%
Convolutional Neural Network
40%
background modeling
27%
Vector Quantization
25%
Image Quality
23%
Detection Method
21%
Computer Vision
21%
moving object detection
20%
Video Surveillance
19%
Attention (Machine Learning)
18%
Embedding Capacity
18%
Long Short-Term Memory Network
17%
Authentication
14%
Decryption
14%
Face Recognition
13%
Sparse Representation
13%
Compressed Image
12%
nonnegative matrix factorization
12%
Anomaly Detection
12%
Data Hiding
12%
Data Augmentation
11%
Training Data
11%
Multimedia
11%
Visually Impaired People
11%
Gaussian Mixture Model
10%
Image Segmentation
10%
YOLO
10%
Interpretability
10%
Deep Learning Model
9%
Learning Approach
8%
Machine Learning
8%
Learning System
8%
Recognition System
8%
Visual Quality
8%
Secret Sharing
7%
Tracking Object
7%
Image Authentication
7%
Background Subtraction
7%
Network Architecture
7%
Steganography
7%
Finite-State Machine
7%
Privacy Preserving
7%
Temporal Convolutional Network
7%
Decision Tree
7%
Neural Network
6%
Deep Neural Network
6%
Training Sample
6%
Autoencoder
6%
Keyphrases
Deep Learning
44%
Deep Learning Methods
40%
Background Modeling
27%
Object Detection
27%
Object Detection Algorithm
23%
Moving Object Detection
22%
Vector Quantization
21%
Convolutional Neural Network
19%
Deep Learning Model
16%
Image Quality
16%
Moving Objects
15%
Abandoned Object
15%
Popular
15%
Image Compression
15%
State-of-the-art Techniques
15%
Steganography Techniques
15%
Non-negative Matrix Factorization
14%
Fingerprinting
14%
Decryption
14%
Defect Detection
14%
Video Surveillance
14%
Alzheimer's Disease
14%
Computer Vision
13%
Steel Surface Defect Detection
13%
Detection Method
13%
Abandoned Object Detection
13%
Embedding Capacity
11%
Anomaly Detection
11%
Magnetic Resonance Imaging
11%
Single Image
11%
Pedestrian
11%
Training Data
11%
Sparse Representation
11%
Gaussian Mixture Model
10%
Data Augmentation
10%
Long Short-term Memory
10%
Cover Image
10%
Visually Impaired
9%
Semantic Segmentation
9%
Rain
9%
Plantar Pressure
9%
Ultrasound Image
9%
YOLOv4
9%
Network Architecture
8%
Real Environment
8%
Gaussian Mixture
8%
Alzheimer's Disease Classification
8%
High Efficiency
8%
Learning-based
8%
Detection Accuracy
8%
