When machine learning models deliver problematic results, it can often happen in ways that humans can't make sense of, and this becomes dangerous when there are no limitations of the model, ...
In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations ...
Researchers have built an explainable stacking machine learning framework that jointly forecasts electrical load and predicts ...
A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict ...
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