Traffic loss isn’t the full story as answer engines create higher-value demand, forcing CMOs to rethink SEO fundamentals, ...
Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...
Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...
Cybersecurity researchers have discovered a JScript-based command-and-control (C2) framework called PeckBirdy that has been put to use by China-aligned APT actors since 2023 to target multiple ...
EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...
Due to the intricate dynamic coupling between molecular networks and brain regions, early diagnosis and pathological mechanism analysis of Alzheimer's disease (AD) remain highly challenging. To ...
Model misspecification is a common challenge in population genetic inference, as oversimplified mathematical models often fail to capture complex evolutionary processes. Here, we introduce a framework ...
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Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
JavaScript’s low bar to entry has resulted in one of the richest programming language ecosystems in the world. This month’s report celebrates the bounty, while also highlighting a recent example of ...