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Showing 61 - 80 results of 331 for search '(( element network algorithm ) OR ((( data basic algorithm ) OR ( data processing algorithm ))))', query time: 0.12s Refine Results
  1. 61
    ELISSAR. (c1997)

    ELISSAR. (c1997) by Nasreddine, Diana M.

    Published 1997
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  2. 62
    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 2024
    “…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …”
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  3. 63
    A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization

    A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization by Yamout, Youssef

    Published 2021
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  4. 64
    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2020
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  5. 65
    Degree-Based Network Anonymization

    Degree-Based Network Anonymization by Halawi, Ola

    Published 2020
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  6. 66
    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)

    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

    Published 2018
    “…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …”
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  7. 67
    Topics in graph algorithms

    Topics in graph algorithms by Abu-Khzam, Faisal Nabih

    Published 2003
    “…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …”
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  8. 68
    A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

    A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

    Published 2022
    “…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …”
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  9. 69
    Learning-Based Space-Time Adaptive Processing

    Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

    Published 2013
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  10. 70
    Identifying Regional Trends in Avatar Customization

    Identifying Regional Trends in Avatar Customization by Peter Mawhorter (18602944)

    Published 2019
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  11. 71
    On-site workshop investment problem: A novel mathematical approach and solution procedure

    On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

    Published 2023
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  12. 72
    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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  13. 73
    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …”
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  14. 74
    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

    Published 2019
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  15. 75
    Fuzzy Logic Based Patients' Monitoring System

    Fuzzy Logic Based Patients' Monitoring System by Al-Dmour, Jumana

    Published 2013
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  16. 76
    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

    Published 2021
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  17. 77
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
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  18. 78
    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data

    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data by Rajesh Kumar Dhanaraj (19646269)

    Published 2021
    “…In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. …”
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  19. 79
    Severity-Based Prioritized Processing of Packets with Application in VANETs

    Severity-Based Prioritized Processing of Packets with Application in VANETs by Ala Al-Fuqaha (4434340)

    Published 2019
    “…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …”
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  20. 80
    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

    Published 2025
    “…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …”
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