Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...

Getting your Trinity Audio player ready... In last year’s letdown at the state meet, Oliver Horton came out too fast, gassed out and finished a disappointing third. So going into this year’s meet at ...

Background and aim: Accelerated aging poses significant physical, psychological, and social health challenge to Chinese. Successful aging (SA) serves as a proactive approach to population aging, ...

To Gary Mendoza, the controversy surrounding OpenAI’s ongoing corporate restructuring effort is all too familiar. Some 30 years ago, Mendoza oversaw a similarly contentious corporate transformation.

The Hisayama risk prediction model for atherosclerotic cardiovascular diseases (ASCVDs) has been featured in the latest Japanese preventive guidelines, yet it lacks external validation. During a ...

There is often a disconnect between the intended functionality of an artificial intelligence model and its actual functionality once it's integrated into healthcare workflows. Epic has developed an ...