model selection, and evaluation. It can also be used for deep learning tasks. Microsoft Cognitive Toolkit (CNTK) is another popular Python library for deep learning. It provides a flexible ...

The review highlights the key advantage of transformers: their ability to handle vast, complex, and heterogeneous data streams within EHR systems. These models outperform traditional machine learning ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Murali Mohana Krishna Dandu has made extensive contributions to Fortune 500 companies like Walmart, Wayfair, Home Depot, ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

In this study, we propose an innovative approach that integrates multimodal deep learning with Explainable ... contribution of input features, increasing model transparency and clinical applicability.

Here's a ChatGPT guide to help understand Open AI's viral text-generating system. We outline the most recent updates and ...

This paper proposes a hybrid deep learning architecture based on a Vision Transformer for Moiré fringe phase analysis. By training on various types of Moiré fringe datasets, the model can predict the ...