Abstract: When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and ...
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 ...
Johan Ferreira receives funding from the Centre of Excellence in Mathematical and Statistical Sciences, based at the University of the Witwatersrand, towards this Scholarship of Learning and Teaching ...
Survey on the current status of statistical cognition and teaching needs of Chinese medical students
Purpose: To assess medical students’ needs regarding statistics education and inform potential reforms in medical statistics teaching. Method: A self-administered questionnaire survey was conducted ...
Understanding learners’ needs is a prerequisite for teaching reform in open education. By distributing a self-designed electronic questionnaire and analyzing the 282 responses collected, the study ...
Since the 1860s, education data has been collected and analyzed across the U.S. The Department of Education's far-reaching layoffs have decimated a small statistical agency considered to be the ...
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Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
This study investigates the role of statistical learning in the learning of lexical tones by non-tone language speakers. Over two experiments, participants were exposed to tone-syllable combinations ...
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