بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based finding » based findings (توسيع البحث), based funding (توسيع البحث), based binding (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based finding » based findings (توسيع البحث), based funding (توسيع البحث), based binding (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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2821
Image 6_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).tif
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2822
Table 10_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).xlsx
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2823
Image 3_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).tif
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2824
Image 5_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).tif
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2825
Table 9_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).xlsx
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2826
Table 4_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).xlsx
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2827
Table 11_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).xlsx
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2828
Table 6_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).xlsx
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2829
Image 2_Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.).tif
منشور في 2025"…In this study, we employed bioinformatics methods to identify eight TaAkPHY genes in the Aikang58 wheat variety. …"
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2830
Methodological overview.
منشور في 2025"…<p>(A) The source reconstruction of TMS-evoked potential of each subject was performed using dSPM method based on MNE software library. The time series of cortical activity were extracted through Schaefer 200 parcellation atlas. …"
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2831
Training and test routes for simulated agents navigating using insect inspired strategies
منشور في 2025"…<p dir="ltr">These folders contain train routes, test routes and terrain information (labelled as per filenames) for a set of insect-inspired route navigation experiments conducted in Unity.</p><p dir="ltr">For code analysing this data see: <a href="https://github.com/amanyazevedoamin/RecapitulatedTrackConvergence" rel="noreferrer" target="_blank">https://github.com/amanyazevedoamin/RecapitulatedTrackConvergence</a></p><p dir="ltr">All trajectories are 2D and stored as csv files with headings of 'x','y' and 'heading' (degrees)</p><p dir="ltr">The folder names encode the following:</p><p dir="ltr">The first 3 characters corresponds to the training route length: "EXT" is 20m, "LON" is a longer 100m training route</p><p dir="ltr">The second 3 characters refer to the route recapitulation strategy in use.…"
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2832
Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014
منشور في 2025"…Forest Service’s Forest and Inventory Analysis program (FIA) version 1.7.1 and 2) the landscape target data, which consisted of raster data at 30x30 meter (m) resolution provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE; https://landfire.gov/) FIA plots were imputed to the raster data by the random forests algorithm, providing a tree-level model of all forested areas in the conterminous U.S. …"
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2833
Mean squared Error on all unseen data.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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2834
Possible graph filter functions.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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2835
The notational conventions used in this paper.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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2836
Table 1_Evaluating the prognostic significance of the modified prognostic nutritional index—C-reactive protein-to-albumin-to-lymphocyte index in acute decompensated heart failure:...
منشور في 2025"…Using the Boruta algorithm, the CALLY index was identified as a key factor associated with ADHF-related mortality. …"
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2837
Overtuning in Hyperparameter Optimization - Artifacts
منشور في 2025"…<br></p><p dir="ltr">This data contains the following columns (and some additional ones not explained here which are self-explanatory) where the validation and test performance of each proposed hyperparameter configuration are tracked over time in the form of trajectories</p><ul><li>iteration (iteration of an HPO run)</li><li>valid (validation performance)</li><li>test_retrained (test performance after retraining)</li><li>seed (replication id)</li><li>classifier (learning algorithm)</li><li>data_id (data set id)</li><li>train_valid_size (size of the set used for training and validation)</li><li>resampling (resampling method)</li><li>metric (performance metric)</li><li>method (post selection method and resampling method)</li><li>optimizer (HPO algorithm)</li></ul><p><br></p>…"
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2838
Replication Package of "Battling Phish"
منشور في 2025"…</li><li><code>Phishing_Site_URLs_32_Features_Extracted_Data.csv</code> (PSU dataset):<br>Includes phishing and legitimate URLs with 32 extracted lexical features.…"
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2839
Confusion_Matrix_Data.zip
منشور في 2025"…<p dir="ltr">This research paper proposes a novel approach for human activity recognition using depth video data, focusing on improving accuracy by effectively capturing motion information and utilizing a robust classification method. Here's a breakdown of the key elements:</p><p dir="ltr"><b>. …"
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2840
Alphabet (United States): What does a university look like?
منشور في 2025"…Fields of Research with greater than 50% of their output not represented in the network include: Education (65.0%), and Law and Legal Studies (66.67%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…"