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MICROPHERRET: MICRObial PHEnotypic tRait ClassifieR using Machine lEarning Techniques. [PDF]
Environ MicrobiomeBizzotto E +5 more
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Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review. [PDF]
HeliyonGhane M +5 more
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Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]
Sci RepHanif M +5 more
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Interpretable glucose forecasting for type 2 diabetes across traditional, deep, and large language models. [PDF]
Sci RepAlredaini R, Abulkhair M, Almisbahi H.
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Journal of KIISE, 2020
This paper proposes two ways to develop LR parsers easily. First, one can write a parser specification in a general programming language and derive the benefits of syntax error checking, code completion, and type-error checking over the specification ...
Jintaeck Lim +4 more
semanticscholar +1 more source
This paper proposes two ways to develop LR parsers easily. First, one can write a parser specification in a general programming language and derive the benefits of syntax error checking, code completion, and type-error checking over the specification ...
Jintaeck Lim +4 more
semanticscholar +1 more source
An Efficient LR Parser Generator for Tree Adjoining Grammars
International Workshop/Conference on Parsing Technologies, 2000C. Prolo
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The Design of a Dynamic Configurable Packet Parser Based on FPGA
Micromachines, 2023Zhichuan Guo, Ying Sun
exaly