Abstract: In this paper, we investigate the parameter estimation problems, where the unknown parameter is assumed to be within certain restricted parameter space. To this end, we adopt the ...
Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an atomic nucleus is a ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
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