ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
Yes, I know my mind is a fickle little bee doting on a thousand thoughts, but I’m getting better at chasing my mind back to the moment so I can see the spiderwebs making hammocks the color of the moon ...
Considering the spectral differences between broadleaf weeds and narrow-leaf crops and the influence of terrain and soil variables on weed infestations, integrating such information into a ...
GST 2.0 marks a turning point in simplifying India’s indirect tax framework. Gone are the days of debates over whether a parotta is a roti, caramel popcorn is different from salted, or a bun differs ...
Can you remember the last time that you confused left and right? Most healthy people have no issues telling left from right, but for some people (about 15 percent), left-right confusion is a somewhat ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Abstract: EEG signals exhibit non-stationary characteristics, particularly across different subjects, which presents significant challenges in the precise classification of mental workload levels when ...
Mohsen Baqery is a Guide Staff Writer from Turkey. With a passion for gaming that borders on obsession, Mohsen thrives on guiding fellow gamers through the most challenging obstacles while exploring ...
The recent flood of machine generated data allows for the detection of anomalous behaviors in the corresponding systems, something previously impossible. Consequently, the anomaly detection problem ...
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