One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Artificial intelligence is reshaping the dairy supply chain, optimizing logistics and resource management while tackling ...

I asked AI to write a column in my style; it was a bad parody. Time to check how AI is doing. It's gotten much better and shows surprising innovation.

Polymer research shows that machine learning can optimize tribological performance of epoxy coatings, with GBR outperforming ...

Neural networks can be tuned to adapt to new data and situations, which essentially allows them to learn from experience and ...

This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular ...

Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and ...

In the last decade, deep learning models start getting more attention, especially within the image processing community. In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D ...

Abstract: Image recognition provides an essential role ... This is achieved by comparing conventional approaches with deep learning methodologies, particularly Convolutional Neural Networks (CNNs).

This letter explores using deep learning ... networks, where HAP serves as a relay node to extend network coverage and enhance flexibility. Our experiments, conducted using real cloud data, ...