بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
magic algorithm » making algorithm (توسيع البحث), mogwo algorithm (توسيع البحث), fastica algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based magic » based agi (توسيع البحث), based magnetic (توسيع البحث), based imaging (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
magic algorithm » making algorithm (توسيع البحث), mogwo algorithm (توسيع البحث), fastica algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based magic » based agi (توسيع البحث), based magnetic (توسيع البحث), based imaging (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
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881
Measuring diaphragmatic excursion using 4-Dimensional Ultrasound: a feasibility study
منشور في 2025"…</p><p dir="ltr">This dataset contains Voluson ultrasound data files of diaphragm motion from 12 participants, the raw python code to process this data and the compiled executable of the python scripts. …"
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882
<b>From street view imagery to the countryside: large-scale perception of rural China using deep learning</b>
منشور في 2025"…The project includes both the data and code that support the Pair-CNN model.</p><h3>1. …"
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883
CSPP instance
منشور في 2025"…<p dir="ltr">This Python script (<code>instance_generator.py</code>) is a tool designed to <b>programmatically generate synthetic instance data for container stowage and logistics problems.…"
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884
Stress and frequency optimization of prismatic sandwich beams with structural joints: Improvements through accelerated topology optimization
منشور في 2025"…To address computational demands, accelerated linear finite element (FE) solvers and eigensolvers are employed, specifically adapted for density-based TO to enhance efficiency and maintain accuracy. …"
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885
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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886
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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887
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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888
Aluminum alloy industrial materials defect
منشور في 2024"…<p dir="ltr">The dataset used in this study experiment was from the preliminary competition dataset of the 2018 Guangdong Industrial Intelligent Manufacturing Big Data Intelligent Algorithm Competition organized by Tianchi Feiyue Cloud (https://tianchi.aliyun.com/competition/entrance/231682/introduction). …"
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889
Catalogue of compact radio sources in Messier-82 from e-MERLIN observations
منشور في 2025"…</p><p dir="ltr">The data were processed using the e-MERLIN CASA pipeline for initial calibration. …"
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890
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>…"
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891
Technical University of Munich: What does a university look like?
منشور في 2025"…</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>…"
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892
<b>A virtual tracer experiment to assess the temporal origin of root water uptake, evaporation, and </b><b>drainage</b>
منشور في 2024"…</p><p dir="ltr"><a href="" target="_blank">Two open-source Matlab scripts are available in the zip-files. The PT.m Matlab code determines the drainage transit time based on the particle tracking algorithm, while the VTE.m Matlab code determines the drainage and RWU transit times and relative rainfall contributions to actual evaporation, actual transpiration, and drainage using isotope transport simulations in HYDRUS-1D</a>. …"
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893
iNCog-EEG (ideal vs. Noisy Cognitive EEG for Workload Assessment) Dataset
منشور في 2025"…Inside each folder, four <b>.EDF</b> files represent the workload conditions:</p><pre><pre>subxx_nw.EDF → No Workload (resting state) <br>subxx_lw.EDF → Low Workload (easy multitasking) <br>subxx_mw.EDF → Moderate Workload (medium multitasking) <br>subxx_hw.EDF → High Workload (hard multitasking) <br></pre></pre><ul><li><b>Subjects 01–30:</b> Clean EEG recordings</li><li><b>Subjects 31–40:</b> Noisy EEG recordings with real-world artifacts</li></ul><p dir="ltr">This structure ensures straightforward differentiation between clean vs. noisy data and across workload levels.</p><h3>Applications</h3><p dir="ltr">This dataset can be applied to a wide range of research areas, including:</p><ul><li>EEG signal denoising and artifact rejection</li><li>Binary and hierarchical <b>cognitive workload classification</b></li><li>Development of <b>robust Brain–Computer Interfaces (BCIs)</b></li><li>Benchmarking algorithms under <b>ideal and noisy conditions</b></li><li>Multitasking and mental workload assessment in <b>real-world scenarios</b></li></ul><p dir="ltr">By combining controlled multitasking protocols with deliberately introduced environmental noise, <b>iNCog-EEG provides a comprehensive benchmark</b> for advancing EEG-based workload recognition systems in both clean and challenging conditions.…"
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894
gridded_livestock_mongolian_plateau_2000_2020
منشور في 2025"…</p><p dir="ltr">The repository has four folders containing sample code and data for total livestock, sheep & goats, large livestock, and 2020 total livestock density spatial distribution simulations. …"
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895
The dataset of main grain land changes in China over 1985–2020
منشور في 2025"…</p> <p>Data viewing and download links:</p> <p>https://code.earthengine.google.com/d371ab6f6c1bd274c85af270e4ad09c5 </p> <p><br></p> <p>Directly call ID of dataset in GEE:</p> <p>var MGL = ee.ImageCollection(“projects/ee-linshi-428901/assets/MrainlandType”)</p> <p><br></p> <p>Data usage code:</p> <p>var year = 2020 // Any year between 1985 and 2020</p> <p>var mglyear = MGL.filterMetadata('time', "equals", year).max()</p> <p>var visParams = {</p> <p> min: 1,</p> <p> max: 7,</p> <p> palette: ['cyan', 'blue','green', 'yellow', 'red','purple','white']</p> <p>};</p> <p>Map.addLayer(mglyear.selfMask(),visParams,"MGL"+year)</p> <p><br></p>…"
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896
Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients
منشور في 2025"…Chronic knee pain alters cortical plasticity, yet our data demonstrate preserved MI capability in patients—a finding with direct implications for rehabilitation BCI development. …"
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897
Stanford University: 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: Economics (50.23%), Commerce, Management, Tourism and Services (51.57%), Creative Arts and Writing (56.37%), Language, Communication and Culture (56.59%), Philosophy and Religious Studies (60.57%), and History, Heritage and Archaeology (73.53%)</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>…"
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898
Stellenbosch University: 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: Physical Sciences (59.03%), Law and Legal Studies (68.66%), Mathematical Sciences (70.97%), Creative Arts and Writing (71.92%), Philosophy and Religious Studies (73.4%), History, Heritage and Archaeology (74.21%), and Language, Communication and Culture (77.64%)</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>…"
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899
Indian Institute of Science Bangalore: 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: Law and Legal Studies (58.06%), Mathematical Sciences (59.19%), and Philosophy and Religious Studies (67.86%)</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>…"
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900
Georgia Institute of Technology: 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: Language, Communication and Culture (51.05%), Economics (51.16%), Philosophy and Religious Studies (54.95%), and History, Heritage and Archaeology (67.09%)</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>…"