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Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis
Published 2022“…Lastly, metagenome functional prediction was carried out and the most abundant heat tolerance related genes were highlighted.…”
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Published 2022“…<p>Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. …”
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A Hybrid Control Approach for Autonomous Vehicles Based on Model Predictive Control
Published 2026Subjects: Get full text
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Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes
Published 2022“…Our construction of these charts are informed by posterior and posterior predictive distributions found using three loss functions: the squared error, precautionary, and linex. …”
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Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems
Published 2024Subjects: -
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Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs
Published 2019“…We show that LD motif proteins form a functionally homogenous group, all being involved in cell morphogenesis and adhesion. …”
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Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Published 2017“…<p dir="ltr">An interesting aspect of structured prediction is the evaluation of an output structure against the gold standard. …”
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An Effective Finite Control Set-Model Predictive Control Method for Grid Integrated Solar PV
Published 2021Subjects: -
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Quantitative imaging of lymph function
Published 2007“…There is a paucity of strategies for predicting or managing lymphedema due in part to the lack of diagnostic imaging approaches to noninvasively and routinely measure lymphatic function. …”
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Computational evluation of protein energy functions
Published 2014“…In this project, we carry out a computational evaluation of putative protein energy functions. Our findings show that the CHARMM energy model tends to be more appropriate for ab initio computational techniques that predict protein structures. …”
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Evolutionary algorithm for protein structure prediction
Published 2010“…A protein is characterized by its 3D structure, which defines its biological function. The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …”
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conferenceObject