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Showing 1 - 18 results of 18 for search '(( elements per algorithm ) OR ((( event scheduling algorithm ) OR ( neural coding algorithm ))))', query time: 0.14s 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
    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling

    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling by Majed Hadid (17148364)

    Published 2022
    “…Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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  7. 7
    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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  8. 8
    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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    doctoralThesis
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  9. 9
    Prediction of EV Charging Behavior Using Machine Learning

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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  10. 10
    Correlation Clustering with Overlaps

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …”
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    masterThesis
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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
    Multidimensional Gains for Stochastic Approximation

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…The proposed algorithms here aim for per-iteration minimization of the mean square estimate error. …”
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  14. 14
    Face Recognition in Uncontrolled Indoor Environment

    Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

    Published 2013
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    doctoralThesis
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  15. 15
    On the complexity of multi-parameterized cluster editing

    On the complexity of multi-parameterized cluster editing by Abu-Khzam, Faisal

    Published 2017
    “…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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  16. 16
    Machine Learning-Based Approach for EV Charging Behavior

    Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

    Published 2021
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    doctoralThesis
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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
    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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