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 ...
Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
Bitcoin (BTC) is starting to recover following the brief slump that pushed it below $84,000 on Monday, December 1, its weakest level since April. However, the sentiment remains fragile. The crypto ...
XRP extended its weekly rally on Friday, November 28, climbing another 1.5% on the daily chart as a number of bullish developments renewed the momentum. Notably, the token pushed above its 20-day ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. The development of ...
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 ...
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