Low-dose CT imaging is designed to reduce the radiation dose to the patient by reducing the intensity of the X-rays to obtain CT images [1]. However, this dose reduction can significantly increase the ...

Harvard Free Online Courses: Harvard University is offering a range of free online courses for learners interested in artificial intelligence, data science, and programming. These self-paced and ...

This paper evaluates three approaches to address parameter proliferation issue in nowcasting: (i) variable selection using adjusted stepwise autoregressive integrated moving average with exogenous ...

Abstract: Imbalanced data is a significant issue in software fault prediction. It is very challenging for software engineers to handle imbalanced software fault data for the early prediction of ...

Abstract: Deep learning (DL) has been wildly successful in practice, and most of the state-of-the-art machine learning methods are based on neural networks (NNs). Lacking, however, is a rigorous ...

Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model. Generalization measures a model's ability to predict ...

Computer engineers at Duke University have demonstrated that using complex numbers—numbers with both real and imaginary components—can play an integral part in securing artificial intelligence ...