Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...
Abstract: Hybrid GNNs, which learn both long-term structural information encoded in static graphs and temporal interactions within dynamic graphs, have attracted attention for their high predictive ...
“Modern system-on-chips (SoCs) are becoming prone to numerous security vulnerabilities due to their ever-growing complexity and size. Therefore, a comprehensive security verification framework is ...
Currently, if you want to retrieve the current workflow ID, you need to retrieve the current context manually. We probably don't want users accessing the context directly and we certainly don't want ...
The Trump administration pushed to unveil a highly classified document on Russia’s interference in the 2016 election after an intense behind-the-scenes struggle over secrecy, which ended in late July ...
ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...
Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...
Abstract: The widespread integration of information technology into power systems increases their vulnerability to false data injection (FDI) attacks, where attackers can mislead the power system ...
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