Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
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 ...
Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering. People working ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
1 Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China 2 Department of Endocrinology, Beilun People's Hospital, Ningbo, Zhejiang, China Background: ...
BURLINGAME, Calif.--(BUSINESS WIRE)--Gradient, an API platform for AI developers, announced today it has raised $10 million in seed funding led by Wing VC, with participation from Mango Capital and ...
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