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Robot assembly tasks can fail due to unpredictable errors and can only continue with the manual intervention of a Leads Nylon human operator.Recently, we proposed an exception strategy learning framework based on statistical learning and context determination, which can successfully resolve such situations.This paper deals with context determinatio
Training Graph Neural Networks (GNNs) on large-scale graphs in the deep learning era can be expensive.While graph condensation has recently emerged as a promising approach through which to reduce training cost by compressing large graphs into smaller ones and for preserving most knowledge, its capability in treating different node subgroups fairly
The overriding purpose of the dissertation was to investigate whether or not the current government-sponsored resettlement program (alternatively termed access to improved land program) is a successful option to attain sustainable food security and improved livelihoods in rural Ethiopia.In order Leads Nylon to achieve the fundamental intent of the