Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Abstract: Data scarcity in Multivariate Time series (MTS) analysis (MTS) poses significant challenges across various fields, including scientific research, business, healthcare, and technology ...
Cloudflare recently announced support for aggregations in R2 SQL, a new feature that lets developers run SQL queries on data ...
Abstract: The COVID-19 pandemic has unfolded with unprecedented complexity, marked by shifting epidemiological trends, evolving treatment protocols, and the emergence of new variants. Such inherent ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
ABSTRACT: This study examined the challenge of customer retention in Uganda’s supermarket sector, where firms face low customer loyalty, high costs of acquiring new customers, slow growth, and ...
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