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Showing 1 - 20 results of 24 for search '(((( implement pass algorithm ) OR ( element content algorithm ))) OR ( neural coding algorithm ))', query time: 0.12s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    Novel algorithms for accurate DNA base-calling

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

    Published 2013
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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    A New Parallel Genetic Algorithm Model

    A New Parallel Genetic Algorithm Model by Al-Somani, Turki F.

    Published 2020
    “…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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  9. 9
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
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  10. 10
    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)

    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

    Published 2011
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  11. 11
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  12. 12
    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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  13. 13
    New primitives to AOP weaving capabilities for security hardening concerns

    New primitives to AOP weaving capabilities for security hardening concerns by Mourad, Azzam

    Published 2007
    “…These primitives are called exportParameter and importParameter and are used to pass parameters between two point cuts. They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. …”
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  14. 14
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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  15. 15
    Face Recognition in Uncontrolled Indoor Environment

    Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

    Published 2013
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  16. 16
    Bridge Structural Health Monitoring Using Mobile Sensor Networks

    Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

    Published 2022
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  17. 17
    Oversampling techniques for imbalanced data in regression

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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  18. 18
    New aspect-oriented constructs for security hardening concerns

    New aspect-oriented constructs for security hardening concerns by Mourad, Azzam

    Published 2009
    “…Moreover, we show the viability and correctness of the proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the result of explanatory case studies.…”
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  19. 19
    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité

    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité by Mourad, Azzam

    Published 2009
    “…Moreover, we show the viability and correctness of our proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the results of explanatory case studies.…”
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  20. 20
    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

    Published 2019
    “…Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …”
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