Graph Convolutional Neural Network (GCNN): A specialised neural network that operates on graph-structured data to capture interactions and relationships among spatial entities.

Complementary research has also focused on structure-aware deep convolutional neural networks that target the optimisation of image structures to reduce artefacts and maintain consistency in ...

The method combines a convolutional neural network with bidirectional long short-term memory, attention mechanism, and natural gradient boosting.

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to ...

PV module fault diagnosis uses convolutional neural network Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies.

After nearly a decade studying human visual perception, Akshay Jagadeesh will focus on safety research and AI for health as a ...