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Qi Gao
School of Automation
h-index
193
Citations
8
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2010
2024
Research activity per year
Overview
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Network
Research output
(34)
Similar Profiles
(1)
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Dive into the research topics where Qi Gao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Computer Science
Adaptive Learning
23%
adaptive neuro-fuzzy inference system
23%
Affective Computing
23%
Analog Computer
23%
Classification Task
23%
Collaborative Filtering
23%
Complex Networks
100%
Computable Function
23%
Convolution Operation
11%
Convolutional Neural Network
17%
Customer Preference
23%
Data Mining
23%
Degree Distribution
27%
Detection Accuracy
19%
Equality Constraint
23%
Estimation Scheme
23%
Experimental Result
17%
Extended Kalman Filter
23%
Graph Convolution
23%
Graph Matching
47%
Graph Neural Network
29%
Hough Transforms
23%
Iterative Algorithm
23%
Learning Factor
23%
Markov Chain
23%
Markov Property
23%
Matching Model
17%
Matching Network
23%
Multi Object Tracking
23%
Optimisation Objective
17%
Particle Swarm Optimization
47%
particle swarm optimization algorithm
29%
Planning Algorithm
23%
Pose Estimation
47%
Preference Model
23%
Quadratic Programming
23%
Reidentification
23%
Sampling Algorithm
17%
Sampling Process
13%
Searching Algorithm
23%
Similarity Graph
23%
Spectral Density
23%
Subnet
76%
Support Vector Machine
23%
Systems Performance
23%
Topological Feature
23%
Topology Graph
17%
Tracking Algorithm
23%
Trajectory Planning
23%
Unmanned Aerial Vehicle
47%
Engineering
Adaptability
23%
Analog Computer
70%
Color Image
23%
Complex Networks
47%
Control System
15%
Cooperative
23%
Decision Fusion
23%
Delay System
11%
Demonstrates
27%
Estimation Scheme
15%
Extended State Observer
26%
Extracted Feature
13%
Fault Diagnosis
23%
Fault Model
11%
Filtering Algorithm
17%
Fuzzy Inference System
23%
Gaussians
23%
Histogram
50%
Human Eye
23%
Image Filter
23%
Image Fusion
23%
Imaging Systems
23%
Joints (Structural Components)
35%
Limitations
31%
Load Torque
15%
Local Binary Pattern
15%
Main Rotor
11%
Markov Property
11%
Mathematical Model
15%
Nearest Neighbor
11%
Network Model
15%
Obtains
37%
Outer Loop
15%
Partial Occlusion
23%
Particle Filter
47%
Particle Swarm Optimization
52%
Pose Estimation
23%
Real Network
15%
Rotorcraft
23%
Scale Variation
23%
Sidelobes
23%
Similarities
23%
Simulation Experiment
17%
Simulation Result
13%
Success Rate
23%
Target Model
11%
Target State
11%
Target Tracking
62%
Tracking Algorithm
23%
Unmanned Aerial Vehicle
70%