This paper presents a new framework based on modified EMD method for detection of single and multiple PQ issues. In modified EMD, DWT precedes traditional EMD process. This scheme makes EMD better by eliminating the mode mixing problem. This is a two step algorithm; in the first step, input PQ signal is decomposed in low and high frequency components using DWT. In the second stage, the low freq...

Quantum machine learning (QML) is an evolving field which capable of surpassing the classical in solving classification and clustering problems. The enormous growth data size started creating barrier for techniques. QML stand out as a best solution to handle big complex data. In this paper quantum support vector (QSVM) based models three benchmarking datasets namely, Iris species, Pumpkin seed ...

Abstract Using the wrong metrics to gauge classification of highly imbalanced Big Data may hide important information in experimental results. However, we find that analysis for performance evaluation and what they can or reveal is rarely covered related works. Therefore, address gap by analyzing multiple popular on three tasks. To best our knowledge, are first utilize new Medicare insurance cl...