Showing 141 - 160 results of 410 for search '(( element data algorithm ) OR ((( differences based algorithm ) OR ( neural coding algorithm ))))', query time: 0.16s Refine Results
  1. 141

    An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

    Published 2021
    “…Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”
  2. 142
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    A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

    Published 2020
    “…The design is versatile since different decoding algorithms can be executed by changing the microprogram. …”
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    article
  4. 144
  5. 145

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

    Published 2013
    “…We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. …”
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    conferenceObject
  6. 146

    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

    Published 2024
    “…Additionally, voxel-based morphometry (VBM) examines age-related anatomical alterations in different brain regions in GM, WM, and CSF tissue volumes.…”
  7. 147

    A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System by Ekinci, Serdar

    Published 2023
    “…CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm. …”
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  8. 148

    Analysis of power system stability enhancement via excitation and FACTS-based stabilizers by Abido, M. A.

    Published 2004
    “…The design problem of a power system stabilizer and different FACTS-based stabilizers is formulated as an optimization problem. …”
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    article
  9. 149

    A new fuzzy logic controller based IPM synchronous motor drive by Abido, M.A.

    Published 2003
    “…The efficacy of the proposed FLC based IPMSM drive is verified by simulation as well as experimental results at different dynamic operating conditions such as sudden load change, parameter variations, step change of command speed, etc. …”
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    article
  10. 150

    Analysis and Assessment of STATCOM-Based Damping Stabilizers for Power System Stability Enhancement by Abido, M. A.

    Published 2005
    “…This study presents a singular value decomposition (SVD)-based approach to assess and measure the controllability of the poorly damped electromechanical modes by STATCOM different control channels. …”
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    article
  11. 151
  12. 152

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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  16. 156

    Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter by Saleh Alhazbi (16869960)

    Published 2020
    “…We have proposed a set of behavioral features of users' activities on Twitter. Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …”
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  19. 159

    A PLC based power factor controller for a 3-phase induction motor by Al-Ali, A.R.

    Published 2000
    “…This work focuses on the implementation of a laboratory model for a PLC based PFC to improve the power factor of a three-phase induction motor. …”
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    article
  20. 160

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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    masterThesis