Results 211 to 220 of about 7,610,098 (326)
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Towards Identifying Objectivity in Short Informal Text. [PDF]
Zhang C, Zhao C, Zhang Z, Huang Y.
europepmc +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source
CS-KG 2.0: A Large-scale Knowledge Graph of Computer Science. [PDF]
Dessí D +4 more
europepmc +1 more source
Mobile consumers influence the shoreward edge of intertidal seagrass ecosystems
Ecological paradigms suggest that the environmentally stressful edge of a habitat is determined by physical factors. The work finds that, counter to these paradigms, an environmentally stressful edge can also be impacted by biotic interactions and are more complex than suggested.
Stephanie R. Valdez +4 more
wiley +1 more source
The State-Before-Event Inference Emerges Across Tenses. [PDF]
Marx E, Jardón N, Wittenberg E.
europepmc +1 more source
The Unsung Hero Towards Net Zero: The Role of Community Engagement in Circular Economy Capabilities
Abstract Prior circular economy (CE) literature has predominantly focused on technological knowledge in the development of firms’ CE capabilities. However, since CE represents a sustainable way of life that intricately links materials, technology and affected communities, technological knowledge alone is only partially useful.
Limin Fu
wiley +1 more source

