Conclusions: Prevalence of obesity is increasing, and use of GLP-1 RAs as the preferred antiobesity medication has increased ...

“Python’s Kiss” collects a baker’s dozen stories, nine of which previously have been published in the New Yorker and elsewhere (each is illustrated with a drawing by the author’s daughter, Aza Erdrich ...

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

UGA's Weather Dawgs use a high-resolution model to create localized forecasts for Athens, improving accuracy for residents.

And check out The 3rd Annual Atlanta Marcus Garvey Symposium on the Atlanta Patch calendar ...

KXAN sat down with a member of the Austin AI Alliance and discussed results from one of the alliance’s recent polls revealing ...

Abstract: This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. The proposed hybrid technique combines the features ...

I am attempting to set up the project on a fresh macOS environment with Python 3.12. I've encountered a dependency deadlock that prevents the model from running. We likely need to re-pickle the ...

Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...