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Showing 41 - 60 results of 410 for search '(((( develop based algorithm ) OR ( element cscap algorithm ))) OR ( data scheduling algorithm ))', query time: 0.11s Refine Results
  1. 41
    Developing a UAE-Based Disputes Prediction Model using Machine Learning

    Developing a UAE-Based Disputes Prediction Model using Machine Learning by Abu Laila, Ibrahim Wasef Subhi

    Published 2022
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  2. 42
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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  3. 43
    Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems

    Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems by Amal Hichri (21383672)

    Published 2022
    “…Tools for feature extraction and selection and fault classification are applied in the developed FDD approach to monitor the GCPV system under various operating conditions. …”
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  4. 44
    Scheduling and allocation in high-level synthesis using stochastic techniques

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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  5. 45
    Detecting sleep outside the clinic using wearable heart rate devices

    Detecting sleep outside the clinic using wearable heart rate devices by Ignacio Perez-Pozuelo (14153007)

    Published 2022
    “…We developed and tested a heart rate-based algorithm that captures inter- and intra-individual sleep differences in free-living conditions and does not require human input. …”
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  6. 46
    Development of a deep learning-based group contribution framework for targeted design of ionic liquids

    Development of a deep learning-based group contribution framework for targeted design of ionic liquids by Sadah Mohammed (18192859)

    Published 2024
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  7. 47
    Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives

    Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives by Nasir Uddin, M.

    Published 2005
    “…The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. …”
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  8. 48
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Mujahid, S.N.

    Published 2020
    “…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …”
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  9. 49
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Duffuaa, S. O.

    Published 2020
    “…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …”
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  10. 50
    High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm

    High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm by Badreddine Kanouni (23073244)

    Published 2025
    “…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …”
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  11. 51
    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive

    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive by Rahman, M. A.

    Published 2006
    “…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …”
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  12. 52
    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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  13. 53
    A Micro-Economics Approach for Scheduling in CDMA Networks with End-to-End QoS Guarantees

    A Micro-Economics Approach for Scheduling in CDMA Networks with End-to-End QoS Guarantees by Saad, Walid

    Published 2007
    “…To efficiently utilize the available radio resources, we propose a new scheduling algorithm based on techniques from micro-economics. …”
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  14. 54
    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network

    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network by Sorkhoh, Ibrahim

    Published 2020
    “…Among these parameters are the variability of vehicles availability and their computational power, the individual tasks’ weighted priorities and their deadlines, the tasks required computational power as well as the required data to upload/download. This article proposes an infrastructure-assisted task scheduling scheme where the roadside unit receives computational tasks from different sources and schedules these tasks over a computationally capable vehicle residing within the roadside unit’s range. …”
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  15. 55
    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach

    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach by Nargess Sadeghzadeh-Nokhodberiz (16904952)

    Published 2023
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  16. 56
    A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network

    A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network by Fareed Ahmad (134672)

    Published 2022
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  17. 57
    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure

    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure by Fahmy, Ahmed

    Published 2020
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  18. 58
    Parallel Algorithm for Hardware Implementation of Inverse Halftoning

    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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  19. 59
    Empirical comparison of regression test selection algorithms

    Empirical comparison of regression test selection algorithms by Mansour, Nashat

    Published 2001
    “…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …”
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  20. 60
    Parallel algorithm for hardware implementation of inverse halftoning

    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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