Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.

In this topic we will advance the fundamental mathematical understanding of artificial neural networks, e.g., through the design and rigorous analysis of stochastic gradient descent methods for their ...

Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...