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Showing 1 - 20 results of 30 for search '(( elements could algorithm ) OR ((( concurrent use algorithm ) OR ( neural coding algorithm ))))', query time: 0.12s Refine Results
  1. 1
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. …”
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  2. 2
    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network

    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

    Published 2019
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  3. 3
    CNN and HEVC Video Coding Features for Static Video Summarization

    CNN and HEVC Video Coding Features for Static Video Summarization by Issa, Obada

    Published 2022
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  4. 4
    Novel algorithms for accurate DNA base-calling

    Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

    Published 2013
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  5. 5
    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

    Published 2025
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  6. 6
    A Concurrency control model for multilevel secure object-oriented databases

    A Concurrency control model for multilevel secure object-oriented databases by Haraty, Ramzi

    Published 1995
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  7. 7
    An incremental approach for test scheduling and synthesis using genetic algorithms

    An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

    Published 2017
    “…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …”
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  8. 8
    Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments

    Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments by Billel Essaid (22047578)

    Published 2025
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  9. 9
    Algorithm for Parallel Inverse Halftoning using Partitioning of Look-Up Table (LUT)

    Algorithm for Parallel Inverse Halftoning using Partitioning of Look-Up Table (LUT) by Siddiqi, Umair F.

    Published 2007
    “…In this work we propose a new algorithm to parallelize the LUT method so that more pixels can be concurrently inverse halftoned using minimum additional hardware. …”
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  10. 10
    Competitive learning/reflected residual vector quantization for coding angiogram images

    Competitive learning/reflected residual vector quantization for coding angiogram images by Mourn, W.A.H.

    Published 2003
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  11. 11
    Automatic Video Summarization Using HEVC and CNN Features

    Automatic Video Summarization Using HEVC and CNN Features by Issa, Obada

    Published 2022
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  12. 12
    Parallel Algorithms for Look-Up Table (LUT) Inverse Halftoning

    Parallel Algorithms for Look-Up Table (LUT) Inverse Halftoning by Siddiqi, Umair F.

    Published 2007
    “…In this work we propose six algorithms to parallelize the LUT method so that more pixels can be concurrently inverse halftone using minimum additional hardware. …”
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    masterThesis
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  13. 13
    Parallel Algorithms for Look-Up Table (LUT) Inverse Haldtoning

    Parallel Algorithms for Look-Up Table (LUT) Inverse Haldtoning by Siddiqi, Umair F.

    Published 2007
    “…In this work we propose six algorithms to parallelize the LUT method so that more pixels can be concurrently inverse halftone using minimum additional hardware. …”
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  14. 14
    A comparison of data mapping algorithms for parallel iterative PDE solvers

    A comparison of data mapping algorithms for parallel iterative PDE solvers by Mansour, Nashat

    Published 1995
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  15. 15
    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …”
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  16. 16
    Properties of Unique Degree Sequences of 3-Uniform Hypergraphs

    Properties of Unique Degree Sequences of 3-Uniform Hypergraphs by Tarsissi, Lama

    Published 2021
    “…Further studies could also include strategies for the identification and reconstruction of those new sequences and hypergraphs.…”
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  17. 17
    A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems

    A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems by Kandil, Sarah M.

    Published 2017
    “…A sample case study is presented to illustrate the performance of the algorithm.…”
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  18. 18
    Nonlinear analysis of shell structures using image processing and machine learning

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
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  19. 19
    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

    Published 2023
    “…The proposed ANN based algorithm has been used for unswerving petite term forecasting. …”
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  20. 20
    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining

    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining by Koen Schaaf (14778139)

    Published 2021
    “…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
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