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Showing 1 - 20 results of 9,712 for search '(( alignment new algorithm ) OR ((( data encoding algorithm ) OR ( based models algorithm ))))', query time: 0.65s Refine Results
  1. 1
    Schematic overview of the LDD nucleation algorithm.

    Schematic overview of the LDD nucleation algorithm. by Marco Saltini (22209094)

    Published 2025
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  2. 2
    Federated averaging algorithm.

    Federated averaging algorithm. by Yan Qin (118276)

    Published 2025
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  3. 3
    Observations that influence the accuracy of the algorithm.

    Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

    Published 2025
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  4. 4
    Hair removal preprocessing using the DullRazor algorithm before image generation.

    Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

    Published 2025
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  5. 5
    Search algorithm performance comparison.

    Search algorithm performance comparison. by Zhaohui Du (414105)

    Published 2025
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  6. 6
    Comparative results with existing representative algorithms.

    Comparative results with existing representative algorithms. by Yan Qin (118276)

    Published 2025
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  7. 7
    Flowchart of algorithm principles.

    Flowchart of algorithm principles. by Wenjuan Zhou (115285)

    Published 2025
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  8. 8
    Decompression algorithm for the proposed HSCRC encoding.

    Decompression algorithm for the proposed HSCRC encoding. by R. Sakthivel (2589547)

    Published 2024
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  9. 9
    Horizontal comparison of models.

    Horizontal comparison of models. by Hui Yang (91136)

    Published 2024
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  10. 10
    The principle of the new virtual alignment method.

    The principle of the new virtual alignment method. by Hannes Benecke (17409369)

    Published 2025
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  11. 11
    Indicator analysis of integrated models.

    Indicator analysis of integrated models. by Hui Yang (91136)

    Published 2024
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  12. 12
    Comparison of deep partitioning models.

    Comparison of deep partitioning models. by Hui Yang (91136)

    Published 2024
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  13. 13
    Schematic diagram of the pillar encoding.

    Schematic diagram of the pillar encoding. by Xinpeng Yao (18882573)

    Published 2025
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  14. 14
    LSTM auto encoder algorithm illustration.

    LSTM auto encoder algorithm illustration. by Hao Zhang (15339)

    Published 2025
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  15. 15
    Adaptive model BD rate analysis.

    Adaptive model BD rate analysis. by Hui Yang (91136)

    Published 2024
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  16. 16
    Optimal Channel Encoding/Decoding Algorithm Design with MATLAB

    Optimal Channel Encoding/Decoding Algorithm Design with MATLAB by Saraf Mohaimen Chowdhury (21977243)

    Published 2025
    “…<p dir="ltr">An optimal channel encoding and decoding algorithm has been designed and implemented in MATLAB to improve data transmission efficiency and adaptability in communication systems.…”
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  17. 17
    The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these encoded multi-scale features. Each encoded image feature undergoes classification, and the top-K features are selected as the content embeddings for the object queries. Additionally, bounding boxes are extracted from the top-K segmentation masks and are subsequently converted into positional embeddings. Following this, the object queries perform self-attention and deformable cross-attention with the encoded multi-scale features to produce the output embeddings. MLP, multi-layer perceptron.

    The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these e... by Owen M. O’Connor (11965460)

    Published 2025
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  18. 18
    Phylogenetic tree of TGEV and PRCV strains (isolates) built based on the S-protein amino acid sequences. The phylogenetic tree was built using the Maximum Likelihood method and the JTT matrix-based model based on the results of multiple alignment of S-protein amino acid sequences performed according to the MUSCLE algorithm.

    Phylogenetic tree of TGEV and PRCV strains (isolates) built based on the S-protein amino acid sequences. The phylogenetic tree was built using the Maximum Likelihood method and the JTT matrix-based model based on the results of multiple alignment of S-protein amino acid sequences performed according to the MUSCLE algorithm. by Mykyta Peka (21433214)

    Published 2025
    “…<p> Phylogenetic tree of TGEV and PRCV strains (isolates) built based on the S-protein amino acid sequences. The phylogenetic tree was built using the Maximum Likelihood method and the JTT matrix-based model based on the results of multiple alignment of S-protein amino acid sequences performed according to the MUSCLE algorithm.…”
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  19. 19
    Comparison of model distances.

    Comparison of model distances. by Pan Wang (198097)

    Published 2025
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  20. 20
    Visualization Comparison Between Client Model with EA.

    Visualization Comparison Between Client Model with EA. by Pan Wang (198097)

    Published 2025
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