Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.
A research team demonstrates how advanced plant phenotyping and machine learning can quantify the hidden physiological signals of cold stress, transforming them into an accurate early-warning system.
Abstract: Band selection (BS) identifies key bands from hyperspectral imagery (HSI) for specific downstream tasks, playing a pivotal role in practical applications. eXtreme Gradient Boosting (XGBoost) ...
Abstract: With the rapid growth of Internet data volumes, Big Data analysis technologies have gradually permeated all aspects of life. However, the existence of data silos and the promulgation of ...
Emergency department overcrowding puts a huge strain on hospital staff and can cause further damage to people who need treatment.
The results show that high ESG scores do not consistently enhance predictability. Across widely used error metrics, such as mean absolute error, root mean squared error, and R-squared, differences ...
Newcastle United are now looking to appoint a Principal Scientist. The club having made this public when advertising (see below) to identify the right person for the role.
This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
This project is a Telegram bot that leverages a XGBoost neural network model to predict the outcomes of Dota 2 matches. The bot provides users with real-time predictions based on current match data, ...
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