E-commerce platforms face significant challenges in detecting anomalous Computer products, including copyright goods and fraudulent listings, which can undermine user trust and platform integrity.This paper presents Graph Neural Network-based E-commerce Anomaly Detection via Dual-stage Learning (GNN-EADD), a novel approach leveraging graph neural n

The use of resistant cultivars and fungicides are common methods to control coffee leaf rust (CLR), the main disease that affects the Arabica coffee crop.In this study, we evaluated the response of grafted and ungrafted plants during the early stage of Hemileia vastatrix infection.We used ungrafted plants of Oro Azteca (resistant cultivar) and Garn

The Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research.DUNE will study questions Computer pertaining to the preponderance of matter over antimatter in the early universe, the dynami

Most airport surface surveillance systems focus on monitoring and commanding cooperative objects (vehicles) while neglecting the location and detection of non-cooperative objects (humans).Abnormal behavior Guitar and Bass Parts by non-cooperative objects poses a potential threat to airport security.This study collects surveillance video data from c