Abstract: Dynamic objects diversify the distribution of point cloud in the map, degrading the performance of the robotic downstream tasks. To address this problem, we present a novel real-time dynamic ...

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 ...

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 ...

Methods and procedures for measuring greenhouse gases vary in different aspects, which could dictate most of the decisions. Even within the same context of measurements, there are different techniques ...

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