As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Abstract: Electrocardiogram is a heartbeat signal ... Machine Learning (ML) methods. Specifically, the performance of Decision Tree (DT), Logistic Regression (LR), Random Forest (RF), K Nearest ...

In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. Traditional machine learning is a broad term that covers a wide ...

One of the application areas is patient respiration monitoring for enhanced patient care and decision support to healthcare ... State Information (CSI), improved signal processing, and Machine ...

Background: To investigate the contribution of machine learning decision tree models ... of the algorithm (PSR max) concerned the underlying hemodynamic tumor process involved in capillary ...

After all, many “traditional” machine learning ... single decision or regression tree, optimizes it, and then builds the next tree from the residuals of the first tree. Lloyd’s algorithm ...