Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Documentary "Ghost in the Machine" debuted at Sundance this week, detailing the eugenicist roots of statistics and machine ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Abstract: Background: Late-onset neonatal sepsis (LONS), which occurs 72 hours after birth, remains a major cause of neonatal morbidity and mortality, particularly in resource-constrained settings.
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 ...
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 ...
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