跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
English
中文
首頁
人才檔案
研究單位
研究計畫
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
按專業知識、姓名或所屬機構搜尋
查看斯高帕斯 (Scopus) 概要
曾 國師
副教授
數學系
電子郵件
kuoshih
math.ncu.edu
tw
網站
https://sites.google.com/site/kuoshihtseng/
h-index
113
引文
6
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。
2005
2024
每年研究成果
概覽
指紋
網路
研究計畫
(8)
研究成果
(29)
類似的個人檔案
(6)
指紋
查看啟用 Kuo-Shih Tseng 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
Keyphrases
Spatial Search
100%
Search Problems
82%
Person Search
64%
UAV
57%
Map Search
56%
Submodularity
48%
Near-optimal
46%
Stream Field
44%
Fourier Domain
42%
Fourier
40%
Submodular Function
39%
Search-and-rescue
39%
Search Behavior
36%
Partially Observable
35%
Moving Object Tracking
35%
Telerobotics
35%
Probabilistic Search
35%
Teleoperation
35%
Moving Objects
35%
Inverse Reinforcement Learning
35%
Sparse Sets
35%
Motion Control
29%
Detection Probability
29%
Adaptive Submodularity
28%
Subgoals
27%
Search System
26%
3D Map
26%
Deep Compressed Sensing
26%
NP-hard Problem
26%
Greedy Algorithm
24%
Benchmark Approach
24%
Motion Tracking
23%
Tracking Algorithm
22%
Generalized Cost
22%
Cost-benefit
22%
Service Robots
20%
Self-localization
20%
Sensor Fusion
20%
Routing Constraint
20%
Sensing Technique
17%
Coverage Functions
17%
Track Fusion
17%
Medical Simulation
17%
Fusion Module
17%
Mobile Platform
17%
Sparse Regression
17%
Axial Motion
17%
People Tracking
17%
Goal Map
17%
Virtual Force Field
17%
Computer Science
Spatial Search
95%
Robot
71%
Greedy Algorithm
59%
Objective Function
50%
Fourier Transform
50%
Unmanned Aerial Vehicle
47%
Search Behavior
44%
Compressed Sensing
39%
Reinforcement Learning
31%
Searching Algorithm
29%
Search Strategies
23%
Traveling Salesman Problem
22%
Tracking Algorithm
20%
Daily Activity
17%
Transfer Learning
17%
Motion Control
17%
Medical Simulation
17%
Tracking Object
17%
People Tracking
17%
tele-robotic
17%
Mobile Robot
17%
structure learning
17%
K-Means Clustering
17%
Search Space
17%
Detection Function
17%
Detection Rate
17%
Measurement Unit
17%
Human Performance
17%
Path Constraint
17%
Deep Learning Method
17%
System Constraint
17%
Time Constraint
17%
Computational Time
17%
Spatial Domain
16%
Human Operator
14%
Kalman Filter
14%
Robotics Application
13%
Learning Approach
12%
Particle Filter
11%
Range Finder
11%
Subgoal Selection
8%
Sparse-Set Representation
8%
Sparsity
8%
Time Trajectory
8%
Computation Complexity
8%
Trajectory Planning
8%
Simulation System
8%
Evolutionary Algorithms
8%
Optimization Problem
8%
Tree Search
8%
Engineering
Unmanned Aerial Vehicle
64%
Robot
50%
Compressed Sensing
37%
Observables
35%
Moving Object
35%
Probability of Detection
35%
Motion Control
35%
Objective Function
34%
Fourier Transform
30%
Sensing Mechanisms
25%
Conducted Experiment
25%
Sensor Fusion
22%
Service Robot
19%
Teleoperation
17%
Inertial Measurement
17%
Motion System
17%
Units of Measurement
17%
Object Tracking Algorithm
17%
Greedy Algorithm
17%
Deep Learning Method
17%
Robotics
17%
Spatial Domain
16%
Control Room
11%
Digital Signal Processor
11%
Tracking Algorithm
11%
Reinforcement Learning
10%
Particle Filter
9%
Sparsity
8%
Proximity Sensor
8%
Distance Sensor
8%
Target Tracking
8%
Simulation System
8%
Control Algorithm
8%
Path Planning
8%
Deep Neural Network
8%
Experimental Result
7%
Range Finder
7%
Drone
5%
Obstacle Avoidance
5%
Control Unit
5%
Forward Motion
5%
Human Operator
5%
Gaussian Mixture Model
5%
Infrared Sensor
5%
Mobile Robot
5%
Search Strategies
5%
Search Algorithm
5%
Collected Data
5%
Fourier Coefficient
5%
Fourier Series
5%