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Showing 1 - 20 results of 161 for search '(( signal processing algorithm ) OR ((( elements based algorithm ) OR ( element data algorithm ))))', query time: 0.14s Refine Results
  1. 1
    A Review for the Genetic Algorithm and the Red Deer Algorithm Applications

    A Review for the Genetic Algorithm and the Red Deer Algorithm Applications by Abu Zitar, Raed

    Published 2021
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  2. 2
    A Review of the Genetic Algorithm and JAYA Algorithm Applications

    A Review of the Genetic Algorithm and JAYA Algorithm Applications by Abu Zitar, Raed

    Published 2022
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  3. 3
    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge

    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge by Leonel Sousa (19645372)

    Published 2021
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  4. 4
    Scatter search algorithm for the cross-dock door assignment problem

    Scatter search algorithm for the cross-dock door assignment problem by Tarhini, Abbas

    Published 2014
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  5. 5
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  6. 6
    EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review

    EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review by Nisreen Said Amer (17984077)

    Published 2023
    “…The development of novel sensors for EEG recording, digital signal processing algorithms, feature engineering, and detection algorithms increases the need for efficient diagnostic systems. …”
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  7. 7
    Fetal ECG Signal Enhancement

    Fetal ECG Signal Enhancement by Ahmadi, Maryam

    Published 2008
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  8. 8
    Bird’s Eye View feature selection for high-dimensional data

    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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  9. 9
    Practical Considerations in Frequency Diverse Array Radar Signal Processing

    Practical Considerations in Frequency Diverse Array Radar Signal Processing by Chaudhry, Abeer Nasir

    Published 2021
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  10. 10
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  11. 11
    Design of adaptive arrays based on element position perturbations

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
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  12. 12
    Learning-Based Space-Time Adaptive Processing

    Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

    Published 2013
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  13. 13
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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  14. 14
    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars

    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars by Abathar Al-Hamrani (16494884)

    Published 2023
    “…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
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  15. 15
    Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection

    Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection by Ala Gouissem (7006463)

    Published 2019
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  16. 16
    On sensor selection in mobile devices based on energy, application accuracy, and context metrics

    On sensor selection in mobile devices based on energy, application accuracy, and context metrics by Taleb, Sireen

    Published 2013
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  17. 17
    New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications

    New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications by Mohieddine Benammar (18103039)

    Published 2019
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  18. 18
    Current trends and future orientation in diagnosing lung pathologies: A systematic survey

    Current trends and future orientation in diagnosing lung pathologies: A systematic survey by Noorizadeh, Mohammad

    Published 2025
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  19. 19
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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  20. 20
    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

    Published 2021
    “…This paper describes a novel approach for RR estimation using motion artifact correction and machine learning (ML) models with the PPG signal features. Feature selection algorithms were used to reduce computational complexity and the chance of overfitting. …”
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