Abstract: This research concerns binary classification of Invasive Ductal Carcinoma (IDC) using two deep learning models, Convolutional Neural Networks (CNNs) along with Vision Transformers (ViTs). We ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

This study presents data on sex differences in gene expression across organs of four mice taxa. The authors have generated a unique and convincing dataset that fills a gap left by previous studies.

Abstract: We investigated two binary classification strategies to further extend the strength of ensemble classifiers for mapping of urban objects. The first strategy was a one-against-one approach.

1 Department of Computer Studies, Arab Open University, Riyadh, Saudi Arabia 2 Department of Computer Sciences, ISSAT, University of Gafsa, Gafsa, Tunisia Cybersecurity has become a significant ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...