Supervised learning - Globe Thesis

Keyword [Supervised learning] Result: 141 - 160 \| Page: 8 of 10
141.	Deep Learning Based Hyperspectral Image Classification In Few-shot Scenes
142.	Research And Application On Intelligent Scheduling With Data-driven Learning Optimization Method For Large Power System
143.	Deep Transfer And Representation Learning Based Remote Sensing Image Understanding
144.	Research On Driver Fatigue Detection Based On Machine Vision And Deep Learning
145.	Research On Stratum Identification Method Based On Shield Machine Excavation Parameters
146.	Research On Remote Sensing Image Object Detection In Complex Scenes
147.	Research On Weakly-Supervised Semantic Segmentation Method Of Remote Sensing Images Based On CAM
148.	The Research On Surface Defect Detection Method Of Industrial Products Based On Deep Learning
149.	Research On Feature Extraction And Identification Of Home Load Based On Supervised Learning
150.	Research On Fault Diagnosis Method Of Planetary Gearboxes Based On Semi-Gragh Convolution
151.	Research On Hyperspectral Image Classification Based On Improved Local Binary Model And Semi-supervised Learning
152.	The Research On Remote Sensing Image Ground Object Identification Method Based On Semi-supervised Deep Learning
153.	Few-shot Learning For Remote Sensing Scene Classification
154.	Research On Container Terminal Trailer Number Recogntion System Based On Semi Supervised Learning
155.	Research On Hyperspectral Image Classification Method Based On Deep Learning And Spatial Spectrum Features
156.	Research On Fault Diagnosis Of Overpressure And Heating Surface Leakage Of Small Supercharged Boiler Based On Machine Learning
157.	Research On Detection Of Ships In Remote Sensing Images Based On Deep Learning
158.	Research On Semi-supervised Learning Method Of Crack Image Recognition Model
159.	Research On Fine-grained Object Detection Technology For Unmanned Surface Vehicles
160.	Research On Surface Crack Detection Algorithm Of Nuclear Fuel Pellets Based On Weakly Supervised Learning
<<First <Prev Next> Last>> Jump to