بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
means algorithm » search algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
elements means » elements mges (توسيع البحث), elements res (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
means algorithm » search algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
elements means » elements mges (توسيع البحث), elements res (توسيع البحث)
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1
The run time for each algorithm in seconds.
منشور في 2025"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …"
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2
Mean squared Error on all unseen data.
منشور في 2025"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …"
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3
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4
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5
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6
Possible graph filter functions.
منشور في 2025"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …"
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7
The notational conventions used in this paper.
منشور في 2025"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …"
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8
Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO<sub>3</sub>–BiMeO<sub>3</sub> Ceramics
منشور في 2025"…After that, multiple machine learning algorithm models were built to train and predict <i>W</i><sub>rec</sub> and η. …"
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9
High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process
منشور في 2025"…This class of models is identifiable, meaning that there exists a maximal element with a partial order between partitions, allowing for statistical inference. …"
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10
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11
Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf...
منشور في 2025"…Participants were recruited through stratified convenience sampling to ensure a broad geographical and professional representation. Data were collected through a validated questionnaire and analyzed using ANOVA, regression analysis, decision tree models, and random forest algorithms. …"
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12
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…"