Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

In this study, a novel approach is proposed by combining principal component analysis (PCA) and empirical analysis to reduce the dimensionality of the model data ... optimization algorithm (IFOA) in ...

Abstract: This paper proposes a new music genre classification algorithm based on dynamic music frame analysis and support vector machine (SVM). The dynamic music frame analysis could cover the ...

We evaluated support vector machines (SVM ... reduced false-hit rates against two similarity based and another machine learning VS methods based on the same training and testing data sets and ...

To address this challenge, researchers developed SAVANA, a new algorithm, which they recently described in the journal Nature Methods. SAVANA uses machine learning to accurately identify ...

The promising results obtained from applying the proposed quantum algorithm, which integrates the quantum neural network (QNN) and the quantum support vector machine (QSVM), to EEG-based BCI datasets ...