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Insulator identification in aerial videos is one of the key procedures to the condition analysis for aerial power line inspections. This paper proposes a novel insulator recognition method for images taken by Unmanned Aerial Vehicles (UAVs) with highly cluttered background, which is to adopt a machine learning algorithm Support Vector Machine (SVM) as a classifier to distinguish insulator from the...
Aiming at Automated Guided Vehicle (AGV) dynamic model characteristics, a Variable Structure Control based on genetic algorithm (GA) and least square-support vector machine (LS-SVM) was designed. Parameters, predetermined by conventional reaching law, were regulated by LS-SVM online. It was shown that system shattering is eliminated. Simulation results indicated that this method possesses the advantages...
Gene expression profile is a kind of useful biological resource in recent years. The original data is usually in the form of large matrix with missing values in it. Missing value estimation method is in active demand as many downstream analysis methods suffered from the missing values. Several methods dealing with this problem have been reported (proposed) recently. We proposed a novel missing value...
A new method based on support vector regression (SVR) has been introduced to predict the relative solvent accessibility (RSA) of residues from protein primary sequences, which uses the local information of protein primary sequences as input. Different to most previous methods which are designed to predict the exposure state (exposed/buried, exposed/intermediate/buried, etc) of a particular residue...
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