[PDF][PDF] Data Augmentation Technique Using Two Step SMOTE for Electronic-nose Signal in Breath Ketone Level Detection.
DW Firmansyah, R Sarno - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Breath acetone concentrations were found to be correlated with blood ketone levels. Based
on this evidence, predicting blood ketone levels using breath analysis and machine learning …
on this evidence, predicting blood ketone levels using breath analysis and machine learning …
Optimal Feature Selection Algorithm (FSA) for Electronic Nose Signal
In E-Nose data, redundancy and overlapping are frequent issues. This is due to the fact that
certain sensors have the same gas target as other sensor gas targets. The goal of this …
certain sensors have the same gas target as other sensor gas targets. The goal of this …
K-Means and Feature Selection Mechanism to Improve Performance of Clustering User Stories in Agile Development
Agile development is an approach in software development that aims to improve the
flexibility, responsiveness, and quality of software products. One part of the planning phase …
flexibility, responsiveness, and quality of software products. One part of the planning phase …
[PDF][PDF] Optimizing Heavy Metal Detection with Deep Neural Networks and Gaussian Mixture Clustering in Voltammetric Data
The accurate and efficient detection of heavy metal is of paramount importance, given their
deleterious effects on human health and the environment. While traditional laboratory …
deleterious effects on human health and the environment. While traditional laboratory …
[PDF][PDF] Deep Neural Network (DNN) for Outlier Detection in Heavy Metal Voltammetric Data
The majority of existing outlier detection methods are unable to adequately address the
inherent complexity and variability of voltammetry data, particularly in the context of heavy …
inherent complexity and variability of voltammetry data, particularly in the context of heavy …