As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: The massive multi-sensor operational data collected via the Supervisory Control and Data Acquisition (SCADA) system provides crucial data support for blade cracking recognition of wind ...

Last year, German network operators received 9,710 connection requests for battery storage systems planned for commissioning at the medium-voltage level. These requests correspond to a total of 400 GW ...

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...

Golfers often hear that “connection” is the key to a consistent swing—but is it really everything? In this video, we take a closer look at what true connection means, how it affects your swing plane ...

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...

Graphs is a graph library in Java (such as JGraphT), designed and implemented by SM Ghaffarian. Although JGraphT is a fine library, its model of graphs is too simplistic and limited, and on the other ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...