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查看斯高帕斯 (Scopus) 概要
蕭 嘉明
Associate Professor
Associate Professor
,
Faculty of Applied Sciences
電話
8599 6451
電子郵件
kmsiu
mpu.edu
mo
h-index
38
引文
3
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。
2017
2025
每年研究成果
概覽
指紋
網路
研究成果
(11)
新聞/媒體
(3)
類似的個人檔案
(6)
指紋
查看啟用 KA MENG SIU 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
Route Planning
100%
Genetic Algorithm
66%
Software Systems
55%
Mobile Platform
50%
Teaching and Learning
50%
Voice Recognition
50%
Data Management
50%
Problem Gambling
50%
Information Technology
50%
Temporal Evolution
50%
Sectional Data
50%
Feedback Loop
50%
Tourism Sector
50%
Data Security
50%
Cybersecurity
50%
Data Analysis
50%
Operational Data
50%
Cloud Resources Scheduling
50%
Cloud Scheduling
50%
Aviation System
50%
Technical Aspect
25%
European Country
25%
Teacher Motivation
25%
Software Component
25%
Message Passing
25%
Legacy Hardware
25%
Implementation Choice
25%
Visual Appearance
25%
Data Structure
25%
component-based software
25%
Encrypted Data
25%
Regression Coefficient
25%
Design Simulation
25%
Customer Experience
25%
Data Authentication
25%
Variable Regression
25%
Simulation Experiment
25%
Security Model
25%
Airline Company
25%
Performance Model
25%
Decryption
25%
Platform Support
16%
Transfer Learning
16%
Personal Preference
16%
Few-Shot Learning
16%
Learning Technique
16%
Planning Method
12%
Multiobjective
12%
Corporate Policy
5%
Human Intervention
5%
Engineering
Unmanned Aerial Vehicle
50%
Complex Networks
50%
Network Model
50%
Data Security
50%
Data Flow
50%
Airlines
50%
Reinforcement Learning
37%
Learning System
25%
Path Planning
25%
Customer Experience
25%
Improve Efficiency
25%
Simulation Experiment
25%
Regression Coefficient
25%
Mean Value
25%
Nodes
25%
Aviation System
25%
Outage Probability
12%
Limitations
12%
Learning Approach
12%
Construction Method
12%
Circuit Theory
12%
Model Problem
12%
Adaptability
12%
Lead Model
12%
Pathlength
12%
Social Sciences
Genetic Algorithm
66%
Macao
58%
Voice Recognition
50%
Student Motivation
50%
Student Teacher Relationship
50%
Student Learning
50%
Macao, China
50%
Gambling
50%
Aviation Industry
50%
Planning Methods
25%
Time Planning
16%
Learning Transfer
16%
Learning Method
16%
Canada
12%
Australia
12%
Reunification
10%
Cost-Effectiveness Analysis
10%
Positive Feedback
10%
