Search alternatives:
complement component » complex components (Expand Search)
codingnb algorithm » cosine algorithm (Expand Search)
level codingnb » level coding (Expand Search)
b algorithm » _ algorithm (Expand Search), box algorithm (Expand Search), dbo algorithm (Expand Search)
element b » elements b (Expand Search), element _ (Expand Search), element g (Expand Search)
Showing 1 - 20 results of 156 for search '(((( complement component algorithm ) OR ( element b algorithm ))) OR ( level codingnb algorithm ))', query time: 0.47s Refine Results
  1. 1
    <b>Robot_gripper_design</b>

    <b>Robot_gripper_design</b> by Ma Haohao (19780875)

    Published 2024
    Save to List
    Saved in:
  2. 2
    <b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b>

    <b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
    Save to List
    Saved in:
  4. 4
    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset.

    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

    Published 2025
    Save to List
    Saved in:
  5. 5
    ML algorithms in cyber security.

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

    Published 2025
    Save to List
    Saved in:
  6. 6
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Comparison of different optimization algorithms.

    Comparison of different optimization algorithms. by Hang Zhao (143592)

    Published 2025
    Save to List
    Saved in:
  8. 8
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

    Published 2025
    “…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”
    Save to List
    Saved in:
  9. 9
    Low-SAR |B1+| maps.

    Low-SAR |B1+| maps. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  10. 10
    |B1+| and |E| maps using the standard basis.

    |B1+| and |E| maps using the standard basis. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  11. 11
    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different spatial locations. The physical pairwise similarities are assumed to be high between A and B and between C and D, while they are relatively low for the other four pairs, as indicated by the physical similarity matrix. This configuration potentially leads to the grouping of {A, B} and {C, D}, as depicted by the dashed red squares. Following neural processing that incorporates the global similarity structure, similar pairs are grouped, whereas dissimilar pairs are segregated, as reflected in the perceptual connection matrix. (B) Demonstration of how computational complexity increases with stimulus size. The left panel presents the physical similarity matrix for 3 × 6 and 4 × 8 element stimuli, respectively. The right panel illustrates the exponential growth in the number o

    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... by Yen-Ju Chen (354876)

    Published 2025
    Save to List
    Saved in:
  12. 12
    Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i><sub><i>nn</i></sub> scattering parameters with analogous phase MRI calibration values for each element of the 4-channel PTX coil configuration.

    Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i><sub><i>nn</i></sub> scattering parameters with analogous phase MRI calibration values for each eleme... by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  13. 13
    Comparing IgV-IgV interfaces A-B) CD96 vs.

    Comparing IgV-IgV interfaces A-B) CD96 vs. by Caesar Tawfeeq (21087272)

    Published 2025
    Save to List
    Saved in:
  14. 14
    Simulated B<sub>1</sub><sup>+</sup> maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4.

    Simulated B<sub>1</sub><sup>+</sup> maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  15. 15
    (a) Geant4 modeling for calculating mass attenuation coefficients.

    (a) Geant4 modeling for calculating mass attenuation coefficients. by Dong Hyeok Choi (12562048)

    Published 2025
    Save to List
    Saved in:
  16. 16
    Temperature measurement at the wire tip during TSE MRI using the standard bases (“Channel coordinate”), low-SAR bases and safe-mode PTX MRI with channel settings determined in the existing and proposed workflows.

    Temperature measurement at the wire tip during TSE MRI using the standard bases (“Channel coordinate”), low-SAR bases and safe-mode PTX MRI with channel settings determined in the... by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  17. 17
    Scattering parameters (<i>S</i>-Matrix) of the simulation model and the experimental bench setup using the 4-channel PTX coil configuration.

    Scattering parameters (<i>S</i>-Matrix) of the simulation model and the experimental bench setup using the 4-channel PTX coil configuration. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  18. 18
    Simulation model and experimental setup.

    Simulation model and experimental setup. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  19. 19
    Line plots of ||.

    Line plots of ||. by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  20. 20
    Mean and maximum |B1+| values calculated over the Region of Interest (ROI) for the simulated and experimental |B1+| maps, and associated temperature elevations ΔT as achieved with the <i>C</i> (<i>CH1</i>, <i>CH 2</i>, <i>CH 3</i>, <i>CH 4</i>) and <i>L</i> (<i>m1</i>, <i>m2</i>, <i>m3</i>, <i>m4</i>) bases shown in the Figs 3 and 5, respectively.

    Mean and maximum |B1+| values calculated over the Region of Interest (ROI) for the simulated and experimental |B1+| maps, and associated temperature elevations ΔT as achieved with... by Maryam Arianpouya (12299222)

    Published 2024
    Subjects:
    Save to List
    Saved in:

Search Tools: