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- W2026956543 abstract "This paper presents a novel approach, Fuzz-SSVS, to improve the secondary structure prediction of proteins. In this work, a Sugeno based Fuzzy System is trained to act as a voting system to combine results of several secondary structure prediction techniques and produce superior answers. Fuzz-SSVS is tested with three of the well-known benchmarks in this field. The results demonstrate the superiority of the proposed technique even in the case of formidable sequences." @default.
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- W2026956543 date "2011-12-01" @default.
- W2026956543 modified "2023-09-27" @default.
- W2026956543 title "Fuzz-SSVS: A Fuzzy logic based voting scheme to improve protein secondary structure prediction" @default.
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- W2026956543 doi "https://doi.org/10.1109/aiccsa.2011.6126592" @default.
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