Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...

Based on the results presented in Tables 2, 3, the Probabilistic Neural Network (PNN) emerged as the most effective algorithm for classification, achieving the highest accuracy regardless of spindle ...

The study explores the integration of quantum-enhanced feature mapping and optimization within Graph Neural Networks (GNNs) for molecular classification tasks.

By applying the genetic algorithm to MUSIC and a process of genetic mutation, we can reduce the latency of the linear antenna by about 70%. The running time of the algorithm leads us to explore neural ...

The memristor back-propagation network was able to classify four brands of Chinese beers, with 88.3% of classification accuracy. Because the memristor neural network algorithm is easy to fabricate in ...