Explore the advantages of space vector modulation for three-phase inverters, including improved performance and reduced ...

is one of the most sought-after technologies in the field of machine learning. In recent times, the use cases for this technology have broadened from specific surveillance applications in government ...

In this paper, an automatic dialect identification (ADI) system is proposed by extracting spectral and prosodic features for Kannada language. A new dialect dataset is collected from native speakers ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

A paper proposing a hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction was published in the journal Green Energy ...