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Showing 1 - 20 results of 2,356 for search '(( element network algorithm ) OR ((( data encoding algorithm ) OR ( data groups algorithm ))))', query time: 0.66s Refine Results
  1. 1
    Flowchart of DQN algorithm.

    Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

    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
    Comparative results with existing representative algorithms.

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

    Published 2025
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  4. 4
    Decompression algorithm for the proposed HSCRC encoding.

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

    Published 2024
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  5. 5
    LSTM auto encoder algorithm illustration.

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

    Published 2025
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  6. 6
    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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  7. 7
    Data Sheet 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.pdf

    Data Sheet 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.pdf by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  8. 8
    Table 2_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 2_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  9. 9
    Table 4_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 4_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  10. 10
    Table 3_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 3_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  11. 11
    Table 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  12. 12
    Table 5_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 5_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  13. 13
    Table 6_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 6_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  14. 14
    Flowchart of the data-driven vs. the conventional approach.

    Flowchart of the data-driven vs. the conventional approach. by Noam Omer (21402801)

    Published 2025
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  15. 15
    MRI-derived myelin water fraction (MWF) maps produced by the data-driven and conventional (non data-driven) approaches in a cuprizone-fed mouse and a healthy control mouse.

    MRI-derived myelin water fraction (MWF) maps produced by the data-driven and conventional (non data-driven) approaches in a cuprizone-fed mouse and a healthy control mouse. by Noam Omer (21402801)

    Published 2025
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  16. 16
    Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements.

    Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

    Published 2024
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  17. 17
    ML algorithms in cyber security.

    ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

    Published 2025
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  18. 18
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  19. 19
    Grouping of Bearing Data.

    Grouping of Bearing Data. by Yu Jie Guang (22184340)

    Published 2025
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  20. 20
    Mean and standard deviation (SD) of MRI-derived myelin water fraction (MWF) values calculated using the data-driven mcT<sub>2</sub> approach and the conventional approach for the two mice groups and across six brain ROIs: cortex, medial corpus callosum (MCC), external corpus callosum (ECC), hippocampus (HIPP), thalamus, and striatum. All relevant data are available at data-driven-mcT2-cuprizone-validation GitHub repository and can be accessed at: https://github.com/NoamBenEliezer/data-driven-mcT2-cuprizone-validation.

    Mean and standard deviation (SD) of MRI-derived myelin water fraction (MWF) values calculated using the data-driven mcT<sub>2</sub> approach and the conventional approach for the t... by Noam Omer (21402801)

    Published 2025
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