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查看斯高帕斯 (Scopus) 概要
羅 吳蔓
Associate Professor
Associate Professor
,
Faculty of Applied Sciences
之前聯繫機構
Associate Professor
,
Faculty of Applied Sciences
電話
8599 6321
電子郵件
luowuman
mpu.edu
mo
h-index
771
引文
10
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。
2003
2024
每年研究成果
概覽
指紋
網路
研究成果
(33)
新聞/媒體
(3)
類似的個人檔案
(6)
指紋
查看啟用 WUMAN LUO 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
Map-Reduce
100%
Trajectory Data
88%
Convolutional Neural Network
59%
Deep Learning
47%
Long Short-Term Memory Network
47%
Storage System
45%
Diverse Replica
44%
Level Sentiment Analysis
44%
Query Processing
41%
Deep Learning Model
38%
Information Storage
37%
Query Performance
34%
Baseline Method
33%
Representation Learning
33%
Large Data Set
33%
Temporal Information
29%
Parallel Processing
29%
Ensemble Method
26%
Range Query
26%
Machine Learning
25%
Attention (Machine Learning)
24%
Performance Tuning
22%
Projective Transformation
22%
Image Interpretation
22%
Clustering Algorithm
22%
User Requirement
22%
Compression Algorithm
22%
Gradient Boosting
22%
Mapreduce Paradigm
22%
Inference Method
22%
Partitioning Method
22%
Computation Cost
22%
Traffic Flow Prediction
22%
Provider Service
22%
Network Constraint
22%
Temporal Compression
22%
Computational Complexity
22%
Systems Planning
22%
Digital Service
22%
Secondary Road
22%
Hadoop
22%
Travel Planning
22%
Packing Algorithm
22%
Dimensional Feature
22%
Wireless Sensor Network
22%
Risk Assessment Framework
22%
Segmentation Model
22%
U-Net
22%
Data Analytics
22%
Approximation (Algorithm)
22%
Engineering
Deep Learning
55%
Image Interpretation
22%
GPS Data
22%
Medical Image
22%
Ground Truth
22%
Sentiment Analysis
22%
Offline Training
22%
Hybrid Model
22%
Cooperative
22%
Energy Engineering
22%
Mobile Node
22%
Test Data
18%
Medical Staff
18%
Nodes
15%
Clinical Application
11%
Severity Level
11%
Test Result
11%
Model-Based Control
11%
Environment Model
11%
Markov Property
11%
Pearsons Linear Correlation Coefficient
11%
Latent Factor
11%
Smart Transportation
8%
Matching Algorithm
8%
Metrics
7%
Machine Learning Method
7%
Internet of Things
6%
Wireless Sensor Network
6%
Mobile Sensor
6%
Classification Performance
5%
Robust Design
5%
Rating Score
5%
Sparsity
5%
