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南京工业大学 国内
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张 浩
教授、硕士生导师
机械与动力工程学院
电子邮件
zhanghaowo79
njtech.edu
cn
网站
https://mech.njtech.edu.cn/info/1019/3291.htm
h-index
134
引用
8
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2007
2024
每年的科研成果
综述
指纹
网络
科研成果
(21)
相似简介
(3)
指纹
深入其中 Hao Zhang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Machining Quality
74%
Quality Tool
74%
Chip Removal
74%
Superheater
74%
Seal Chamber
74%
Pumping Ring
74%
Feature Transform
74%
Control Function
74%
Creep
74%
Conservative Assumption
74%
Helical Gears
74%
Learning System
74%
Cooccurrence Matrix
74%
Sidelobes
74%
Air Consumption
56%
Life Prediction Model
56%
Keypoints
50%
End Effect
50%
Jammer
50%
Mode Signal
44%
Surface Friction
37%
Ring Springs
37%
Network Model
37%
Point Feature
37%
Local Descriptor
37%
Matching Point
37%
Cutting Force
37%
Correct Match
37%
Cutting Parameter
37%
Matching Method
37%
Reliability Assessment
29%
Artificial Neural Network
29%
Random Sample
24%
Image Matching
24%
Integration Algorithm
24%
Burrs
24%
Drilling Parameter
24%
Transmission Error
24%
Gear Teeth
24%
Parametric Equation
24%
Data Sequence
24%
Gaussian Profile Beam
24%
Phase Distortion
24%
Pressure Contour
18%
Processing Method
18%
Position Information
18%
Sparsity
18%
Extracted Feature
18%
Temporal Information
18%
Catastrophic Event
18%
Computer Science
feature descriptor
100%
local feature
99%
Position Information
93%
Temporal Sequence
74%
Lstm
74%
Control Function
74%
Online Computation
74%
Lyapunov Function
74%
Conservative Assumption
74%
Computation Time
74%
Interest Point
74%
Scale-Invariant Feature Transform
74%
Clustering Algorithm
74%
Pattern Matching
74%
Support Vector Regression
74%
Gaussian Filter
74%
Local Descriptor
62%
Traditional Method
50%
Matching Ratio
37%
Fitting Problem
37%
Regression Method
37%
Establishment Algorithm
37%
Forensics Investigation
29%
Image Matching
24%
Consensus Algorithm
24%
Image Processing Technique
24%
Comparison Result
24%
Invariant
24%
Transform Algorithm
24%
Performance Model
24%
Attention (Machine Learning)
24%
Superior Performance
24%
Temporal Information
18%
Processing Method
18%
Data Processing
18%
Extracted Feature
18%
Sparsity
18%
Enhance Performance
18%
Generative Adversarial Networks
18%
Feature Point Detection
14%
Exact Location
14%
Physical Evidence
14%
Feature Map
14%
Comparative Analysis
14%
Confidence Score
14%
