Titlebook: Intelligence Science IV; 5th IFIP TC 12 Inter Zhongzhi Shi,Yaochu Jin,Xiangrong Zhang Conference proceedings 2022 IFIP International Federa

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有毛就脫毛

Fast Node Selection of?Networked Radar Based on?Transfer Reinforcement Learningbecoming more and more critical for data fusion sharing and network collaboration. However, due to the large number and wide range of nodes in the networked radar system, there exists a redundancy problem in radar node assignment, which causes additional resource consumption and slows down the task

青春期

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A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samplesonal homogeneity of the ground objects. We propose a two-branch neural network based on superpixel segmentation and auxiliary samples (TBN-SPAS) for HSI classification. TBN-SPAS uses superpixel segmentation to find samples within the superpixel, which have high spatial correlation with the sample to

評(píng)論性

Augmentation Based Synthetic Sampling and?Ensemble Techniques for?Imbalanced Data Classificationlars proposed various approaches such as undersampling majority class, oversampling minority class, synthetic Minority Oversampling (SMOTE) technique, Proximity Weighted Random Affine Shadowsampling (ProWRAS), etc. However, this work proposes a new method called Augmentation Based Synthetic Sampling