Search alternatives:
processing algorithm » routing algorithm (Expand Search), tracking algorithm (Expand Search), boosting algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
element modeling » element model (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data processing » image processing (Expand Search)
processing algorithm » routing algorithm (Expand Search), tracking algorithm (Expand Search), boosting algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
element modeling » element model (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data processing » image processing (Expand Search)
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Flow chart of the EDR estimation algorithm.
Published 2025“…This process generates feature fusion weights, which are mapped onto the three-dimensional wind matrix and used to convert the three-dimensional wind data into one-dimensional wind data, thereby achieving the fusion of three-dimensional wind features. …”
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Proposed Algorithm.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
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(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm. (G) Analyzing PPI data for Co-genes using the Betweenness algorithm.
Published 2025“…(F) Analyzing PPI data for Co-genes using the Degree algorithm. (G) Analyzing PPI data for Co-genes using the Betweenness algorithm.…”
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Risk element category diagram.
Published 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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Dual deconvolution algorithm: analysis code with experimental data
Published 2025“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”
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Solution results of different algorithms.
Published 2025“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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