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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
based models » based model (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase algorithm for multi-material topology optimization [34]....
Published 2025“…(b) An alternating active-phase algorithm for multi-material topology optimization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0321100#pone.0321100.ref034" target="_blank">34</a>]. …”
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Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption
Published 2025Subjects: -
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Dynamic window based median filtering algorithm.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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XAI based LIME algorithm results for solar power generation forecasting model.
Published 2024Subjects: -
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Hyperspectral Camouflage Detection Dataset and Codes
Published 2025“…Hyperspectral data of camouflage fabrics and natural grass (389.06–1005.10 nm) were acquired and preprocessed using principal component analysis, standard normal variate transformation, Savitzky–Golay filtering, and derivative-based enhancement. The Sample set Partitioning based on joint X–Y distance (SPXY) algorithm was applied to improve representativeness of training subsets, and several classifiers were constructed, including SVM, RF, KNN, CNN, and ResNet. …”
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Algorithmic experimental parameter design.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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