As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

The growth of the global population and economy, along with improved living standards, has led to increasing demands for food and energy (Zeng et al., 2018). Solar energy is not only the most ...

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...

Background: Although frailty affects clinical outcomes and complicates management in elderly patients with heart failure (HF), its evaluation remains inconsistent due to the lack of objective and ...

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 ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

When training on GPU on very large datasets (more than 70.000.00 rows), the model fitting breaks with the error lightgbm.basic.LightGBMError: Check failed: (best ...

Abstract: Under the background of the era of artificial intelligence, predicting product demand through machine learning can effectively improve the production and sales benefits of enterprises. Based ...

Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.

Abstract: The application of intelligent algorithms in the field of subway gate fault detection is increasingly showing its unique advantages. Aiming at the problem that subway gates are susceptible ...