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)
-
2841
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>…"
-
2842
<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>. …"
-
2843
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.…"
-
2844
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. …"
-
2845
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>…"
-
2846
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. …"
-
2847
Raw Data for "Development of Decision Support Systems Based on Fuzzy and Binary Logic for the FOREX Foreign Exchange Market"
منشور في 2025"…This would also allow a reasonable approach to the choice of a specific method.</p><p dir="ltr"><b>Research objective.</b>The aim of this work is to develop multi-timeframe hybrid DSS for algorithmic trading based on fuzzy and classical binary logic with probabilistic elements. …"
-
2848
Supplementary Material for: Weakly supervised deep learning can analyze focal liver lesions in contrast-enhanced ultrasound
منشور في 2025"…We trained a weakly supervised attention-based multiple instance learning algorithm during 5-fold cross-validation to distinguish malignant from benign liver tumors, without using any manual annotations, only case labels. …"
-
2849
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>…"
-
2850
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>…"
-
2851
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>…"
-
2852
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>…"
-
2853
State University of Campinas: 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: History, Heritage and Archaeology (59.36%), Language, Communication and Culture (68.41%), Creative Arts and Writing (72.85%), and Philosophy and Religious Studies (77.65%)</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>…"
-
2854
University College London: 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 (58.72%), History, Heritage and Archaeology (60.62%), Creative Arts and Writing (61.53%), Language, Communication and Culture (62.31%), and Philosophy and Religious Studies (70.32%)</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>…"
-
2855
archive.zip
منشور في 2025"…The structured dataset suggests an intent to train and evaluate deep learning algorithms on real-world image data for practical deployment in grain procurement or quality monitoring systems.…"
-
2856
Data Sheet 1_Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodolo...
منشور في 2025"…</p>Results<p>A general algorithm that commences with the Markov chain transition matrix as an input element and forms the state transition diagram. …"
-
2857
Video 1_Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodology.mp...
منشور في 2025"…</p>Results<p>A general algorithm that commences with the Markov chain transition matrix as an input element and forms the state transition diagram. …"
-
2858
DMP4P: Tailoring Daily Meal Plans to Personalized Nutrient Requirements for Chronic Disease Prevention
منشور في 2025"…</p><p dir="ltr">NHANES original data is uploaded to NHANES_raw_data folder for replay the data generation process only so it is not mandatory for usage.…"
-
2859
<b>Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies</b>
منشور في 2024"…<p dir="ltr">The <i>zip</i> file contains the code and data for the analyses/figures described in the paper titled "<b>Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies</b>" published in September in 2024 in Imaging Neuroscience.…"
-
2860
Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning
منشور في 2025"…<p dir="ltr">This dataset and code package presents a modular framework for supervised classification of burned and unburned land surfaces using satellite-derived spectral reflectance. …"