Search alternatives:
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
use optimization » dose optimization (Expand Search), based optimization (Expand Search), phase optimization (Expand Search)
time structure » dimer structure (Expand Search), theme structure (Expand Search), like structure (Expand Search)
binary time » binary image (Expand Search)
site use » sites used (Expand Search), time use (Expand Search), safe use (Expand Search)
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
use optimization » dose optimization (Expand Search), based optimization (Expand Search), phase optimization (Expand Search)
time structure » dimer structure (Expand Search), theme structure (Expand Search), like structure (Expand Search)
binary time » binary image (Expand Search)
site use » sites used (Expand Search), time use (Expand Search), safe use (Expand Search)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …”
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Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles
Published 2025“…Lastly, we explore correlations between geometric and electronic features of the active sites and the adsorption of H (H<sub>ads</sub>), using a regularized random forest machine learning algorithm. …”
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
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Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx
Published 2020“…In this study, we developed iRNA5hmC, a computational predictive protocol to identify RNA 5hmC sites using machine learning. In this predictor, we introduced a sequence-based feature algorithm consisting of two feature representations, (1) k-mer spectrum and (2) positional nucleotide binary vector, to capture the sequential characteristics of 5hmC sites. …”
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PathOlOgics_RBCs Python Scripts.zip
Published 2023“…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …”