Search alternatives:
process optimization » model optimization (Expand Search)
codes optimization » codon optimization (Expand Search), model optimization (Expand Search), convex optimization (Expand Search)
primary data » primary care (Expand Search)
data codes » data code (Expand Search), data models (Expand Search), data model (Expand Search)
b process » _ process (Expand Search), a process (Expand Search)
binary b » binary _ (Expand Search)
process optimization » model optimization (Expand Search)
codes optimization » codon optimization (Expand Search), model optimization (Expand Search), convex optimization (Expand Search)
primary data » primary care (Expand Search)
data codes » data code (Expand Search), data models (Expand Search), data model (Expand Search)
b process » _ process (Expand Search), a process (Expand Search)
binary b » binary _ (Expand Search)
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Image processing workflow.
Published 2020“…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …”
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
Published 2021“…P <0.05 was considered statistically significant. (B). The MCDM algorithm-Stage 2. Feature Ranking, this stage is the process of using the TOPSIS method to rank features. …”
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
Published 2023“…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…”
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Table_1_Screening of Long Non-coding RNAs Biomarkers for the Diagnosis of Tuberculosis and Preliminary Construction of a Clinical Diagnosis Model.docx
Published 2022“…Background<p>Pathogenic testing for tuberculosis (TB) is not yet sufficient for early and differential clinical diagnosis; thus, we investigated the potential of screening long non-coding RNAs (lncRNAs) from human hosts and using machine learning (ML) algorithms combined with electronic health record (EHR) metrics to construct a diagnostic model.…”
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