This model uses advanced neural network architectures, including convolutional neural networks (CNN) and long-short-term ...

In a paper published in the journal Manufacturing Letters, researchers addressed limitations in machine learning (ML) for ...

Researchers have developed a novel deep-learning method to predict ultra-short-term PV power, using an optimization method that is based on the behavior of dung beetles. The proposed approach ...

A step toward improving online music education by developing an AI tool that can recognize musical notation is described in a ...

Classical Convolutional Neural Network (QCCNN) for breast cancer diagnosis, combining quantum computing with classical CNN ...

Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to ...

Professor Yong-Hoon Kim's team from the School of Electrical Engineering succeeded in accelerating calculations for ...

To improve diagnostic capability, the transatlantic multicentre study leveraged AI to develop a convolutional neural network ...

The integration of deep learning in hyperspectral imaging enhances brain tumor surgery, improving image quality and precision ...

According to a new report by Bloomberg Intelligence (BI), the generative AI market is set for rapid growth, projected to ...