Showing 81 - 100 results of 357 for search '(( elements network algorithm ) OR ((( data code algorithm ) OR ( based testing algorithm ))))*', query time: 0.13s Refine Results
  1. 81

    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation by Iman M. Hosseini Naveh (16891482)

    Published 2021
    “…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …”
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    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”
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    A Modified PWM Strategy With an Improved ANN Based MPPT Algorithm for Solar PV Fed NPC Inverter Driven Induction Motor Drives by Nazmul Islam Nahin (17949158)

    Published 2023
    “…Apart from that, a robust artificial neutral network (ANN) based incremental conductance maximum power point tracking (MPPT) algorithm is also introduced to control the dc-link voltage of the PV fed NPC inverter driven IMD system. …”
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    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... by Mohamed Elsayed Saad Aboudonya (18466385)

    Published 2024
    “…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. …”
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    Parallel Algorithm for Hardware Implementation of Inverse Halftoning by Siddiqi, Umair F.

    Published 2005
    “…The algorithm is based on Lookup Tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …”
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  15. 95

    Parallel algorithm for hardware implementation of inverse halftoning by Siddiqi, U.F.

    Published 2005
    “…The algorithm is based on lookup tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …”
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    article
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    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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    article
  18. 98

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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    article
  19. 99

    A method for efficient NoC test scheduling using deterministic routing by Harmanani, Haidar

    Published 2017
    “…This paper presents a method for NoCs test scheduling using simulated annealing. The method uses a deterministic routing algorithm that minimizes test time while avoiding blocking. …”
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  20. 100

    An Iterative Heuristic for State Justi�cation in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…State justifcation is one of the most time-consuming tasks in sequential Automatic Test Pattern Generation (ATPG). For states that are difficult to justify, deterministic algorithms take significant CPU time without much success most of the time. …”
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    article