Abstract: Accurate early detection of plant diseases remains a critical challenge due to the complexity of hyperspectral data and the limitations of traditional machine learning models. This study ...
Abstract: Advanced Persistent Threats (APTs) have become increasingly frequent, presenting substantial challenges to the management of network services. Using provenance graphs for log analysis has ...
From compute and talent to energy and revenue, six charts show where the U.S. leads China in AI—and why that lead could prove ...
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 ...
As cloud computing adoption accelerates across industries, organizations face mounting challenges securing sensitive data in distributed storage environments.
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