AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.

Q-FlexiViT is evaluated on standard intrusion-detection datasets containing multiple attack types and normal traffic. Using ...

Abstract: Optimal placement of sensors in water distribution networks is crucial for rapidly and efficiently detecting contamination, thus minimizing public health risks. However, identifying sensor ...

Abstract: To address the issues of slow convergence and low exploration efficiency in traditional Q-learning, this paper proposes a path planning algorithm based on support vector machine (SVM) ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...