From our designed matching framework, we are able to find over 20,000 matches within 296 ms making it highly usable in runtime monitoring applications. Keywords ...
Oct 1, 2023 · We introduce Spatial Regular Expressions (SpREs) as a novel querying language for pattern matching over perception streams containing ...
Nov 5, 2024 · From our designed matching framework, we are able to find over 20,000 matches within 296 ms making it highly usable in runtime monitoring ...
We introduce Spatial Regular Expressions (SpREs) as a novel querying language for pattern matching over perception streams containing spatial and temporal ...
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What is the pattern matching technique?
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Oct 3, 2023 · We introduce Spatial Regular Expressions (SpREs) as a novel querying language for pattern matching over perception streams containing spatial and temporal data.
From our designed matching framework, we are able to find over 20,000 matches within 296 ms making it highly usable in runtime monitoring applications.
Nov 8, 2024 · In this work, we introduce SpREs as a novel querying language for pattern matching over perception streams containing spatial and temporal data ...
Spatio Temporal Regular Expression Matcher (STREM) is a fast and efficient tool developed in the Rust language for spatial and temporal pattern matching over ...
Pattern Matching is a method of searching for a fixed sequence of bytes in a single packet, typically associated with a specific service or port.
Pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory.