semi-supervised learning - Globe Thesis

Keyword [semi-supervised learning] Result: 21 - 40 \| Page: 2 of 3
21.	Online Adaptive Semi-supervised Soft Sensor Modeling Method Combined With Active Learning Strategy
22.	Research On Regional Air Pollution Forecasting Based On Mobile Pollution Sources' Telemetry Data
23.	Process Monitoring Of Grinding-Classification Based On Robust Semi-Supervised Learning
24.	Integrated Gaussian Process Regression Soft Sensor Modeling Method
25.	Modeling And Application Of Near-infrared Spectral Detection For Drying And Fermentation Processes
26.	Research On Fault Identification System Of Casing Cutter
27.	Research On Coal And Gangue Target Recognition Algorithm For Gross Coal On The Ground
28.	Research On Process Monitoring Method Of Grinding Classification Based On Semi-supervised Learning
29.	Steel Surface Defect Recognition Based On Graph Neural Network
30.	Research On Classification Method Of Strip Steel Surface Defects Based On Semi-supervised Learning
31.	Research On Rolling Force Prediction Modeling Of Tandem Cold Rolling Mill Based On Deep Learning
32.	Technology And Software For Identifying Underfeeding Condition In Magnesium Furnace Based On Semi-supervised Learning
33.	Research On Intelligent Monitoring And Pattern Recognition Of Product Quality And Tool Condition
34.	Intelligent Detection Of Tire Defects Under X-ray Based On Deep Learningg
35.	Research On Flame Recognition Algorithm Based On Machine Learning
36.	Research On Cross-mirror Identification Technology Of Environmental Offenders Based On Semi-supervised Pedestrian Re-identification Algorithm
37.	Research On Location Recommendation Of Urban Air Quality Monitoring Equipment Based On Association Rules
38.	The Methods Of Fused Magnesia Industrial Process Fault Monitoring Based On Manifold Learning
39.	Fault Detection Method For Fused Magnesium Industrial Process Based On Semi-supervised Learning And Collaborative Modeling
40.	Research On Soft Sensor Method Of Free Calcium Oxide In Cement Clinker Based On Data-driven
<<First <Prev Next> Last>> Jump to