WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

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 ...

What if urban air taxis could, like birds, vary the configuration of their wings in flight? The answer to such questions could soon become reality through morphing wing technology assisted by ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

To prepare the data, we offer further instructions in the file data.md, where you can find more information on how we cleaned and converted the data to our formats.

Abstract: This paper reviews representative non-Bayesian and Bayesian cooperative localization algorithms and evaluates their performance in high, medium, and low-density networks with nodes ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering, ...

A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...