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Showing 1 - 20 results of 42 for search '(((( pre processing algorithm ) OR ( elements uce algorithm ))) OR ( neural scheduling algorithm ))', query time: 0.12s Refine Results
  1. 1
    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
    “…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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  2. 2
    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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  3. 3
    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net

    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net by Sania Gul (18272227)

    Published 2023
    “…We will discuss the need for AE, U-Net comparison to other DNNs, the benefits of converting the audio to 2D, input representations that are useful for different AE applications, the architecture of vanilla U-Net and the pre-trained models, variations in vanilla architecture incorporated in different E models, and the state-of-the-art AE algorithms based on U-Net in various applications. …”
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  4. 4
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  5. 5
    Content-Symmetrical Multidimensional Transpose of Image Sequences for the High Efficiency Video Coding (HEVC) All-Intra Configuration

    Content-Symmetrical Multidimensional Transpose of Image Sequences for the High Efficiency Video Coding (HEVC) All-Intra Configuration by Shanableh, Tamer

    Published 2025
    “…This work proposes a pre- and post-coding solution using the content-symmetrical multidimensional transpose of raw video sequences. …”
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  6. 6
    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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  7. 7
    Pre-production movie rating prediction using machine learning. (c2017)

    Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

    Published 2017
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  8. 8
    A kernelization algorithm for d-Hitting Set

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
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  9. 9
    Novel algorithms for accurate DNA base-calling

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

    Published 2013
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  10. 10
    Fetal ECG Signal Enhancement

    Fetal ECG Signal Enhancement by Ahmadi, Maryam

    Published 2008
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  11. 11
    Defense against adversarial attacks: robust and efficient compressed optimized neural networks

    Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

    Published 2024
    “…This study compresses the generative pre-trained transformer (GPT) by 65%, saving time and memory without causing performance loss. …”
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  12. 12
    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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  13. 13
    Cortical EEG Source Localization of Focal Epilepsy

    Cortical EEG Source Localization of Focal Epilepsy by Siyam, Wisal Elfatih Mohamed

    Published 2017
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  14. 14
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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  15. 15
    Segmenting Handwritten Arabic Text

    Segmenting Handwritten Arabic Text by Haraty, Ramzi A.

    Published 2002
    “…The algorithm then generates pre-segmentation points for these blocks. …”
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  16. 16
    A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text

    A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text by Haraty, Ramzi

    Published 2001
    “…The algorithm then generates pre-segmentation points for these blocks. …”
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  17. 17
    Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models

    Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models by Theng, Lau Wei

    Published 2022
    “…The dataset consists of 1000 images which having 250 of images for each type of salak. Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. …”
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  18. 18
    A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001)

    A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001) by Hamid, Alaa A.

    Published 2001
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  19. 19
    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System

    Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

    Published 2020
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  20. 20
    A novel hybrid methodology for fault diagnosis of wind energy conversion systems

    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…The proposed technique involved two major steps: feature selection and fault classification. Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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