Missing values are highly undesirable in real-world datasets. The missing values should be
estimated and treated during the preprocessing stage. With the expansion of nature-inspired …

ABSTRACT A missing value represents a piece of incomplete information that might appear
in database instances. Data imputation is the problem of filling missing values by means of …

Pressure ulcers (PUs) are a prevalent skin disease affecting patients with impaired mobility
and in high-risk groups. These ulcers increase patients' suffering, medical expenses, and …

Human activities are linked to atmospheric pollution and are affected by economic
development. Ground-level ozone has become an important and harmful pollutant for many …

The paper presents the result of the research concerning comparisson of various techniques
of missing values multiple imputation by chained equations (MICE) with the use of logistic …

Distribution networks remain the most maintenance-intensive parts of power systems. The
implementation of maintenance automation and prediction of equipment fault can enhance …

Missing values are highly undesirable in real-world datasets. The missing values should be
estimated and treated during the preprocessing stage. With the expansion of nature-inspired …

The purpose of this quantitative predictive correlational study is to determine if and to what
extent undergraduate program type (ie, specialized versus non-specialized design …

Oxygen concentration dissolved in water is an important parameter used to measure the
quality of water. Increasing the concentration of oxygen by transferring oxygen from the …

Missing values are highly undesirable in real-world datasets. The missing values should be
estimated and treated during the preprocessing stage. With the expansion of nature-inspired …