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Showing 61 - 80 results of 317 for search '(( element rd algorithm ) OR ((( data encoding algorithm ) OR ( data processing algorithm ))))', query time: 0.15s Refine Results
  1. 61
    Learning-Based Space-Time Adaptive Processing

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

    Published 2013
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  2. 62
    Identifying Regional Trends in Avatar Customization

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

    Published 2019
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  3. 63
    A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks

    A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

    Published 2022
    “…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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  4. 64
    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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  5. 65
    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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  6. 66
    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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  7. 67
    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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  8. 68
    Fuzzy Logic Based Patients' Monitoring System

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

    Published 2013
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  9. 69
    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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  10. 70
    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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  11. 71
    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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  12. 72
    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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  13. 73
    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
    “…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
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  14. 74
    Bee Colony Algorithm for Proctors Assignment.

    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
    “…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …”
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  15. 75
    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation

    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

    Published 2023
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  16. 76
    Process Mining over Unordered Event Streams

    Process Mining over Unordered Event Streams by Awad, Ahmed

    Published 2020
    “…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …”
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  17. 77
    Mapping realistic data sets on parallel computers

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
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  18. 78
    Image-CNN Based Process Control of Profile

    Image-CNN Based Process Control of Profile by Zeinab, Zeinab Jihad

    Published 2023
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  19. 79
    Novel algorithms for accurate DNA base-calling

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

    Published 2013
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  20. 80
    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
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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