As-Salaam-Alaikum — subax wanaagsan — Good morning! It is a privilege to welcome you all as we open this inspiring workshop on Mediation and Negotiation tailored for the Women Peace Network of Somalia ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Abstract: Weather forecasting has never been an easy task-owing to the complex and dynamic nature of atmospheric systems. Conventional techniques of weather forecast mainly involve deterministic ...
Introduction: Personal identity, defined as the perceived continuity and coherence of the self over time, has been theorized to influence anxiety. This study investigates whether personal identity ...
Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has ...
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...
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