This paper studies a permutation flowshop scheduling problem (PFSP) with the objective of total tardiness minimization. An improved estimation of distribution algorithm with machine learning, named ML ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Illnesses from stealthy pathogens known as Vibrio are advancing northward along numerous coasts, potentially ruining your ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

python machine-learning awesome r probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...