Abstract: Timely identification of fault-prone modules is essential for improving software quality, enhancing customer satisfaction, and optimizing testing efforts. This study explores fault ...
Early and accurate identification of mild cognitive impairment (MCI) is crucial for timely intervention and preventing further cognitive decline. Functional near-infrared spectroscopy (fNIRS) is a non ...
A combined pipeline of advanced feature selection plus supervised/ensemble classifiers improved CKD risk prediction compared with using raw variables without tuning. Hemoglobin ranked among the most ...
The saliva microbiome of oral squamous cell carcinoma (OSCC) patients has been gradually unveiled, but there is a lack of cross-cohort studies, and there is no non-invasive diagnostic model across ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Abstract: The electroencephalogram (EEG) is widely used to study brain activity, including sleep spindles, which are brief neural oscillations occurring during non-rapid eye movement sleep. Rats serve ...
Ensemble Techniques: Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results