بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
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Comparison of different optimization algorithms.
منشور في 2025الموضوعات: "…crayfish optimization algorithm…"
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Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Supplementary file 1_Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway.pdf
منشور في 2025"…Results showed lowest errors for velocities derived with the deep learning-based approach applied to UAV imagery (RMSE = 2.17 m/yr, R<sup>2</sup> = 0.99), followed by cross-correlation using Sentinel-2 images (RMSE = 21.0 m/yr, R<sup>2</sup> = 0.59) and the deep learning-based approach with PlanetScope data (RMSE = 21.28 m/yr, R<sup>2</sup> = 0.36). …"
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Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Supplementary file 1_Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China.docx
منشور في 2025"…This research assesses the performance of the machine learning algorithms XGBoost, SVM, and RF using data from the Sentinel-2 and Landsat-9 satellites. …"
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A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam
منشور في 2024"…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …"
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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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Supplementary file 1_Snow parameter retrieval (SPR) algorithm for the GCOM-C/SGLI sensor: validation over the Greenland ice sheet.pdf
منشور في 2025"…Although developed specifically for application to data obtained by the SGLI imager, the SPR algorithm can easily be adapted for application to other similar multi-spectral sensors, such as MODIS (already done), VIIRS, and OLCI.…"
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Supplementary file 1_Sentinel-1 (S1) time series alignment method for rapeseed fields mapping.docx
منشور في 2025الموضوعات: -
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China’s annual forest age dataset at a 30-m spatial resolution from 1986 to 2022
منشور في 2025الموضوعات: -
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Risk element category diagram.
منشور في 2025"…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …"
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Data Sheet 1_Mapping soil salinity using machine learning and remote sensing data in semi-arid croplands.docx
منشور في 2025"…This study evaluates the performance of a combined approach based on machine learning (ML) algorithms and satellite-derived predictors for soil salinity mapping in the Béni Amir Sub-perimeter of Tadla plain, Morocco. …"
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Data Sheet 1_Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope.pdf
منشور في 2024"…However, the existing algorithms require a huge amount of annotated data. …"