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Application of deep convolutional neural networks to automatic feature/object detection in high resolution remote sensing imagery
(University of Missouri--Columbia, 2017)
of CaffeNet, GoogLeNet, ResNet-50, ResNet-101, on this data set. ResNet-101 achieved a 96.4 percent average accuracy on the world-wide SAM site data set. Finally, we present a China SAM site search and detection case study. First, we compare a visual Broad...
Analysis of flame images in gas-fired furnaces
(University of Missouri--Columbia, 2007)
A promising architecture is proposed in this research work for evaluating gasfired furnace flame combustion quality. The quality assessment is based on information on its fuel and oxidizer flow rate level which are the ...
Vehicle license plate detection and recognition
(University of Missouri--Columbia, 2010)
In this work, we develop a license plate detection and recognition method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different ...
Use of Jacobians for inverse kinematics of articulated robots : a study on approximate solutions
(University of Missouri--Columbia, 2020)
numerical solution for the IK problem using the Unit-Consistent (UC) and the Mixed (MX) Inverse methods to invert the Jacobians derived from the Denavit-Hartenberg (D-H) representation of the FK for any robot. As we demonstrate, this approach is robust...
Human-assisted self-supervised labeling of large data sets
(University of Missouri--Columbia, 2022)
There is a severe demand for, and shortage of, large accurately labeled datasets to train supervised computational intelligence (CI) algorithms in domains like unmanned aerial systems (UAS) and autonomous vehicles. This ...