Soft analyzers have been increasingly accepted as an alternative to physical ones in the chemical industry to infer and improve the product quality. In this study, an adaptive least-squares support ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

In this post-hoc analysis, data were pooled from the randomised, placebo-controlled, phase 3 TULIP-1 (NCT02446912) and TULIP-2 (NCT02446899) trials of anifrolumab (300 mg intravenously once every 4 ...

Soft-input/soft-output symbol decoding plays a significant role in iterative decoding. We propose a simple optimal soft-input/soft-output symbol decoding algorithm for linear block codes which ...

Studies with missing data were excluded from the meta-regression analysis. Only univariable meta-regression models were employed when there was k ≥ 10 articles based on the ratio of 1 regression ...