Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Two Florida college students and an advocacy group for retirees are asking a federal judge to let them intervene in a lawsuit ...