In the chi square analysis of cross-tabulated variables, the problem of low cell counts is usually solved by combining categories, at the cost of a loss of information, or by using larger samples, at ...
Abstract: Compute-in-memory (CIM) is a promising approach for realizing energy-efficient deep neural network (DNN) accelerators. Previous CIM works focusing on uniform quantization (UQ) demonstrated a ...
Abstract: Current contingency reserve criteria ignore the likelihood of individual contingencies and, thus, their impact on system reliability and risk. This paper develops an iterative approach, ...
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