Manifold learning - Globe Thesis

Keyword [Manifold learning] Result: 1 - 20 \| Page: 1 of 2
1.	Manifold Learning Algorithms Based Non-Gaussian Process Monitoring And Its Application To Chemical Process Monitoring
2.	Fault Diagnosis Based On Manifold Feature Extraction For Chemical Processes
3.	Fault Diagnosis Of Submersible Reciprocating PUMP Based On Locally Linear Embedding
4.	Design And Implementation Of Online Near-Infrared Quality Surveillance System In Key Productive Processes Of TCM
5.	Prediction Of Gas Emission Quantity Based On Manifold Learning And Support Vector Machine
6.	Based On Visible - Near-infrared Spectroscopy And Hyperspectral Imaging For Non-destructive Testing Methods
7.	Research On Test Signal Analysis Based On The Manifold Learning For Printing Press
8.	Shape Analysis Of Waist-hip Using Feature Distance And Personalized Ffemale Trousers Pattern Making
9.	Research On Fault Diagnosis Methord Of Printing Machine Based On Multi-source
10.	Dynamic Soft Sensor Based On Two-dimensional PLPP For Raw Material Decomposition Rate In Cement Process
11.	Forecast Modeling Raw Material Decomposition Rate Of Cement Decomposing Furnace Based On Dynamic Data Dimension Reduction And Semi-supervised Learning
12.	Research On Classification Method Of Coking Coal Macerals
13.	Research On Tool Wear Condition Monitoring Method Based On S Transform And Hidden Markov Model
14.	Parameters Analysis And Assessment Of Pulverized Coal's Ignition Sensitivity Based On Terahertz Time-domain Spectroscopy
15.	Collapsing Coal And Rock Recognition Method Based On Non-stationary Vibration Signal In Fully Mechanized Caving Face
16.	Feature Detection And Compensation Control Of Porosity During AC-GTAW Of Aluminum Alloys Based On Arc Spectral Data
17.	Research On Fault Identification Method Of CNC Machine Tools For Health Status Diagnosis
18.	Research On Visual Diagnosis Method Of CNC Tool Based On Manifold Learning
19.	Research On Potato Crops Mechanical Damage Detection Based On Manifold Learning
20.	Research On LLTSA Method Based On Nonlinear Data Dimensionality Reduction
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