This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Tim Higgins: A lot is written about Elon Musk. What did he say when you told him ...
Abstract: Student Assessment on e-learning platforms is a debated subject. The focal emphasis of this research study is to predict fair/transparent student evaluation using machine learning algorithms ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
Insects have long inspired humans, even before the dawn of time. There is a theory that ants inspired human agriculture. As any observant child will know, ants routinely take seeds into their nests, ...
Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
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