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based methods » mixed methods (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search)
element network » alignment network (Expand Search)
data processing » image processing (Expand Search)
based methods » mixed methods (Expand Search)
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Process based on WOA-LSTM-PID model.
Published 2025“…To solve this problem, the study proposes an improved PID controller based on the Long Short-Term Memory (LSTM) optimized by the Whale Optimization Algorithm (WOA). …”
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Data Sheet 1_Research on persimmon fruit diameter accurate detection method based on improved RCNN instance segmentation algorithm.zip
Published 2025“…<p>Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter detection algorithm based on the Region-based Convolutional Neural Network (RCNN) Mask and instance segmentation algorithm. …”
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Comparison of the effects of human animation generated by different methods.
Published 2025Subjects: -
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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Comparison of the results obtained with the proposed method with other methods in literature.
Published 2025Subjects: -
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Comparison of ground truth position of simulated neurons with different firing patterns and ROI selection by algorithm.
Published 2024Subjects: “…interest determination algorithm…”
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Speech spectrogram extracted from speech signal processed by short time Fourier transform method.
Published 2025Subjects: -
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Comparison of results based on CycleGAN method.
Published 2025“…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …”
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