In this paper, we propose a hybrid dependable breast cancer detection approach that combines the power of DL using a pre-trained ResNet50V2 model and ensemble-based ML methods. The integration of DL ...

In a new preprint posted on the company’s website that is not yet peer reviewed, the Boston-based company demonstrated ... after generating multiple design proposals. This process is repeated ...

Though other reviews provide essential insights into ML-based heart disease prediction, they tend to suffer from some drawbacks. Unlike other works, our work is unique in the following aspects. This ...

This article addresses the design of an adaptive rate/power control scheme using machine learning (ML)-aided channel prediction for FSO-based satellite systems. Notably, we employ the echo state ...