بدائل البحث:
learning algorithm » learning algorithms (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)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
learning algorithm » learning algorithms (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)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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Evaluation of model aggregation algorithms.
منشور في 2024"…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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Comparison of homomorphic encryption algorithms.
منشور في 2024"…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
منشور في 2025"…,</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.PNG</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.xml</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.txt</p><p dir="ltr">Each PNG is annotated for the following categories:</p><p dir="ltr">(1) CappedHoneyCell </p><p dir="ltr">(2) CappedWorkerBroodCell</p><p dir="ltr"> (3) EmptyCombCell</p><p dir="ltr">(4) PollenCell</p><p dir="ltr"> (5) UncappedNectarCell</p><p dir="ltr"> (6) UncappedWorkerLarvaCell</p><p dir="ltr">(7) BeeHiveFrame</p><p dir="ltr">The counts on the number of annotated region of interest (ROI) images are as follows:</p><p dir="ltr">CappedHoneyCell: 19,723</p><p dir="ltr">CappedWorkerBroodCell: 21,456</p><p dir="ltr">EmptyCombCell: 20,655</p><p dir="ltr">PollenCell: 13,406</p><p dir="ltr">UncappedNectarCell: 11,009</p><p dir="ltr">UncappedWorkerLarvaCell: 18,283</p><p dir="ltr">BeeHiveFrame: 1001</p><p dir="ltr">Each such ROI can be extracted into a separate image and used in training machine learning algorithms.</p><p dir="ltr">The subdirectory SRC/ contains two Python scripts that can convert XML to TXT and TXT to XML: xml_to_txt_converter.py and txt_to_xml_converter.py.…"
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Convergence curve of the DBO algorithm.
منشور في 2025"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
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Algorithm parameter settings employed in the experiments on simulated data.
منشور في 2024الموضوعات: -
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Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty
منشور في 2025"…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …"
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Data Sheet 2_Active learning with human heuristics: an algorithm robust to labeling bias.pdf
منشور في 2024"…<p>Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. …"
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Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.
منشور في 2025"…<p>Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.…"
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Data Sheet 1_Active learning with human heuristics: an algorithm robust to labeling bias.zip
منشور في 2024"…<p>Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. …"
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ML algorithms used in this study.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Decision tree algorithms.
منشور في 2025"…Ensemble learning in supervised machine learning is also a common technique for handling imbalanced data. …"
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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional
منشور في 2025"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …"