By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
Abstract: This paper focuses on the application of gradient boosted regression trees in data processing and predictive analytics in the computer field. Firstly, for large dataset processing, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback