بدائل البحث:
codon optimization » wolf optimization (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
laboratory based » laboratory values (توسيع البحث), laboratory data (توسيع البحث), laboratory tests (توسيع البحث)
binary game » binary image (توسيع البحث)
based work » based network (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
laboratory based » laboratory values (توسيع البحث), laboratory data (توسيع البحث), laboratory tests (توسيع البحث)
binary game » binary image (توسيع البحث)
based work » based network (توسيع البحث)
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Genetic diversity among red mombin fruits in the Southwest of Goiás
منشور في 2019"…A multivariate analysis was performed estimating the mean Euclidean distance obtained from the provenances, based on the attributes of the fruits analyzed. The measure of similarity and grouping of the provenances were done through the Tocher optimization algorithm and UPGMA dendrogram. …"
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Video-to-Model Data Set
منشور في 2020"…The system has been evaluated in a task-based study with ten participants in a laboratory, but under realistic conditions. …"
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Image_1_Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation.tif
منشور في 2023"…</p>Methods<p>To this end, this study, by utilizing the transcriptomic as well as single cell data and integrating 20 mainstream machine-learning (ML) algorithms. We optimized an AI-based predictor for GC diagnosis. …"
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NanoDB: Research Activity Data Management System
منشور في 2024"…<p dir="ltr">NanoDB is a Python-based application developed to optimize the management of experimental data in research settings. …"
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.</p><p dir="ltr">Briefly, this is a description of the performed work: Rapid, large-scale monitoring is critical to understanding spatiotemporal plant stress dynamics, but current physiological stress markers are costly, destructive, and time-consuming. …"