Missing Values in PIMA Diabetes Dataset and Not Considering It in an Article Accepted in that Journal
The article is a letter to the editor, so it has no abstract....
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The article is a letter to the editor, so it has no abstract....
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...
10.1109/TQE.2024.3447875
ObjectiveLinkage of longitudinal administrative data for mothers and babies supports research and service evaluation in several populations around the world. We established a linked mother-baby cohort using pseudonymised, population-level d...
10.1371/journal.pone.0164667
Abstract This study proposes a machine learning-based framework for predictive maintenance and quality control of drilling mud pumps, targeting critical operational challenges such as equipment failure, downtime, and high maintenance costs....
10.1186/s40537-026-01475-9
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
10.34768/amcs-2021-0046