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Showing 1 - 20 results of 20 for search '(( implement past algorithm ) OR ((( element learner algorithm ) OR ( neural coding algorithm ))))', query time: 0.13s 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
    Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks

    Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks by Hassan, Yasmin Adel

    Published 2010
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  9. 9
    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…A lot of advancement has been made in the field of population genetics in the past decade. New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. …”
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  10. 10
    Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment

    Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment by Sachi Gupta (19560268)

    Published 2022
    “…Therefore, here we propose modified versions of the HEFT algorithm that can obtain improved results. In the rank generation phase, we implement different methodologies for calculating ranks, while in the processor selection phase, we modify the way of selecting idle slots for scheduling the tasks. …”
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  11. 11
    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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  12. 12
    Multigrid solvers in reconfigurable hardware

    Multigrid solvers in reconfigurable hardware by Haraty, Ramzi A.

    Published 2008
    “…We analyze the implementation performance using the FPGA vendor's tools. …”
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  13. 13
    Face Recognition in Uncontrolled Indoor Environment

    Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

    Published 2013
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  14. 14
    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology

    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology by Al-Hemairy, Moh'd Hussain

    Published 2010
    “…Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …”
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  15. 15
    Comparative Study on Arabic Text Classification: Challenges and Opportunities

    Comparative Study on Arabic Text Classification: Challenges and Opportunities by Abualigah, Laith

    Published 2022
    “…There have been great improvements in web technology over the past years which heavily loaded the Internet with various digital contents of different fields. …”
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  16. 16
    Benchmarking Concept Drift Detectors for Online Machine Learning

    Benchmarking Concept Drift Detectors for Online Machine Learning by Mahgoub, Mahmoud

    Published 2022
    “…To guarantee a fair com parison, MOA is used. Fourteen algorithms are implemented in MOA. We integrate two new algorithms (ADWIN++ and SDDM) into MOA.…”
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  17. 17
    Cross entropy error function in neural networks

    Cross entropy error function in neural networks by Nasr, G.E.

    Published 2002
    “…This paper applies artificial neural networks to forecast gasoline consumption. The ANN is implemented using the cross entropy error function in the training stage. …”
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  18. 18
    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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  19. 19
    Assessment of static pile design methods and non-linear analysis of pile driving

    Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

    Published 2006
    “…Scientific advances in pile analysis have been made in recent decades but their implementation in the estimation of axial capacity has been slow. …”
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  20. 20
    Developing an online hate classifier for multiple social media platforms

    Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

    Published 2020
    “…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”
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