Showing 1 - 11 results of 11 for search '(( binary best codon optimization algorithm ) OR ( binary either process detection algorithm ))', query time: 0.62s Refine Results
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    ABIDE dataset subject demographics. by Alexandria M. Jensen (6494957)

    Published 2024
    “…The literature on analysis of these community detection algorithms has focused on comparing them within the same subject. …”
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    Segmentation, trace denoising and spike extraction framework. by Changjia Cai (10647521)

    Published 2021
    “…(B) Algorithm for fluorescence trace denoising and spike extraction. ①-② Load and high-pass filter the signal in one context region of the movie. …”
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    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …”
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    Twitter dataset by mehdi khalil (20153943)

    Published 2024
    “…</li><li><b>Model Comparison</b>: Researchers can compare the effectiveness of different ML approaches on the same dataset, enabling a clearer understanding of which methods yield the best results in detecting misinformation.</li><li><b>Algorithm Development</b>: The dataset serves as a benchmark for developing new algorithms aimed at improving accuracy in fake news detection.…”
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    Data_Sheet_1_Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal.pdf by Kotaro Yamashiro (10502753)

    Published 2021
    “…To address this question, we stained neurons in layers 2/3 of the primary somatosensory cortex (S1) and the primary motor cortex (M1) of mice and manually labeled the neurons as either cell type using GAD67 immunosignals. We then sought to detect GAD67-positive neurons without GAD67 immunosignals using a custom-made deep learning-based algorithm. …”
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    Raw LC-MS/MS and RNA-Seq Mitochondria data by Stefano Martellucci (16284377)

    Published 2025
    “…The data were filtered as follows: (a) binary expression of a protein (i.e., protein exclusively identified in either scLRP1+/+ or scLRP1-/-) was only considered relevant if all scLRP1+/+ samples or all scLRP1-/- samples expressed the protein. …”