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Showing 1 - 20 results of 57 for search '(((( component data algorithm ) OR ( elements b algorithm ))) OR ( neural scheduling algorithm ))', query time: 0.13s 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
    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

    Published 2025
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  3. 3
    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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  4. 4
    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …”
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  5. 5
    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation

    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation by Khaled Dhibi (16891524)

    Published 2021
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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
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
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  8. 8
    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems

    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

    Published 2022
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  9. 9
    Mining airline data for CRM strategies. (c2006)

    Mining airline data for CRM strategies. (c2006) by Maalouf, Lena

    Published 2006
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  10. 10
    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS

    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

    Published 2020
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  11. 11
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
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  12. 12
    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)

    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

    Published 2008
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  13. 13
    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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  14. 14
    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions

    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions by Liu, Wenpeng

    Published 2017
    “…This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.…”
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  15. 15
    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms

    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

    Published 2022
    “…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”
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  16. 16
    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
    “…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
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  17. 17
    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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  18. 18
    Deep learning-based user experience evaluation in distance learning

    Deep learning-based user experience evaluation in distance learning by Rahim Sadigov (17714301)

    Published 2023
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  19. 19
    Synthesis with VHDL. (c2001)

    Synthesis with VHDL. (c2001) by Halawi, Hatem

    Published 2001
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  20. 20
    Online dynamic ensemble deep random vector functional link neural network for forecasting

    Online dynamic ensemble deep random vector functional link neural network for forecasting by Ruobin Gao (16003195)

    Published 2023
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