In recent years, there has been an interest increase in smart maintenance within the
shipping sector due to the benefits and opportunities associated with its implementation …

Objective The proper handling of missing values is critical to delivering reliable estimates
and decisions, especially in high-stakes fields such as clinical research. In response to the …

Addressing data anomalies (eg, garbage data, outliers, redundant data, and missing data)
plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on …

Machine learning is now widely used in various fields, and it has made a big splash in the
field of disease diagnosis. But traditional machine learning models are general-purpose …

The performance of thin film nanocomposite nanofiltration membranes (TFNNMs) is
frequently constrained by the trade-off between the permeability and rejection/selectivity of …

Diabetes has become one of the seven major diseases affecting human death, so early
prediction of the disease to prevent it is critical. Several existing works of literature, however …

Abstract BACKGROUND CONTEXT A traumatic spinal cord injury (SCI) can cause
temporary or permanent motor and sensory impairment, leading to serious short and long …

The development of multisensory systems and the ongoing application of data collection
technologies have both contributed to the explosion of time series data. However, due to …

Numerous real-world data contain missing values, while in contrast, most Machine Learning
(ML) algorithms assume complete datasets. For this reason, several imputation algorithms …

Pengumpulan data untuk perkiraan cuaca menjadi sangat penting untuk dilakukan untuk
meningkatkan kualitas dari perkiraan cuaca tetapi seringkali data yang didapatkan untuk …