This paper investigates the cold chain logistics distribution path optimization problem. Based on the generalized transportation cost (including fixed cost, transportation cost and penalty cost), a ...

This research investigates a method to enhance the accuracy and reliability of power system load prediction by integrating neural networks and genetic algorithms. Initially, a load prediction model is ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...