Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction. The deployment of sophisticated architectures such as ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to electrocardiography (ECG). AI methods, particularly deep neural networks (DNN), have ...

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