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data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
imaging algorithm » making algorithm (Expand Search), mining algorithm (Expand Search), magic algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
based imaging » based image (Expand Search), lapse imaging (Expand Search), speed imaging (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Table 1_Comprehensive analysis of multi-omics vaccine response data using MOFA and Stabl algorithms.xlsx
Published 2025“…In this project, we used the MOFA and Stabl algorithms to analyze FluPRINT, estimate the population structure from the data, and identify the most important features for predicting response to the vaccine.…”
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Patient and tumor characteristics.
Published 2025“…</p><p>Methods</p><p>BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. …”
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Data Sheet 1_Multiparametric MRI-based radiomics and deep learning for differentiating uterine serous carcinoma from endometrioid carcinoma: a multicenter retrospective study.docx
Published 2025“…Features from radiomics and deep learning were extracted using T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and contrast enhanced MRI (CE-MRI). …”
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State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing
Published 2025“…Then the collected data are preprocessed by applying key approaches such as normalization, resizing, noise reduction, and grayscale conversion to improve the image quality. The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …”
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S1 Data - A GNSS receiver positioning algorithm based on weighting the statistical properties of discontinuous signals at lower rotation speeds
Published 2025“…Weighted Kalman Filter Algorithm in C Code. S3 File. NavSolveKalman.h. Weighted Kalman Filter Algorithm in C Code. …”
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Confusion matrix values for different size of test samples and different choice of random states.
Published 2025Subjects: -
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Comparison of the results obtained with the proposed method with other methods in literature.
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Graphical illustration of a spectral approach for training support vector machine.
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