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Found 2 papers, 1 papers with code
Learning suction graspability considering grasp quality and robot reachability for bin-picking
To address this problem, images were generated by a physical simulator, and a physically inspired model (e. g., a contact model between a suction vacuum cup and object) was used as a grasp quality evaluation metric to annotate the synthesized images.
Credit Card Fraud Detection Using Autoencoder Neural Network
Imbalanced data classification problem has always been a popular topic in the field of machine learning research.
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