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processing algorithm » routing algorithm (Expand Search), tracking algorithm (Expand Search), boosting algorithm (Expand Search)
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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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241
Improved random forest algorithm.
Published 2025“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”
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242
K-means++ clustering algorithm.
Published 2025“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”
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Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning
Published 2025“…</li><li>Evaluating automated wiring algorithms using modified A* search for layout optimisation.…”
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246
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248
Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …”
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249
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Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)
Published 2025Subjects: -
251
Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process
Published 2025“…Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …”
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252
Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process
Published 2025“…Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …”
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253
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256
Supporting data for "Toward Self-Improving and Sustainable Large Language Models"
Published 2025Subjects: -
257
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Accuracy of the proposed method using SVM combined with the uniform window.
Published 2025Subjects: -
259
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