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Showing 81 - 100 results of 222 for search 'data ((collection algorithm) OR (detection algorithm))', query time: 0.09s Refine Results
  1. 81
    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

    Published 2023
    “…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …”
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  2. 82
    Growing hierarchical self-organizing map for filtering intrusion detection alarms

    Growing hierarchical self-organizing map for filtering intrusion detection alarms by Mansour, Nashat

    Published 2008
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  3. 83
    Efficient XML Structural Similarity Detection using Sub-tree Commonalities

    Efficient XML Structural Similarity Detection using Sub-tree Commonalities by Tekli, Joe

    Published 2007
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  4. 84
    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits

    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits by Hind Almerekhi (7434776)

    Published 2022
    “…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…”
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  5. 85
    Generic metadata representation framework for social-based event detection, description, and linkage

    Generic metadata representation framework for social-based event detection, description, and linkage by Abebe, Minale A.

    Published 2020
    “…The latter are required as the building blocks for event-based Collective Knowledge (CK) organization, where CK underlines the combination of all known data, information, and metadata concerning a given concept or event. …”
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  6. 86
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Clustering experiments demonstrate high correlation levels between the specified user requirements and the characteristics of the generated XML data, while timing results confirm our approach's scalability to large scale document collections.…”
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  7. 87
    Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks

    Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks by Javed Butt , Usman

    Published 2023
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  8. 88
    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks

    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Devices in such scenarios are normally extremely energy-constrained and often exist in large numbers and can be located in hard-to-reach areas; the fact that necessitates the design and implementation of effective energy-aware data collection mechanisms. To this end, we propose the utilization of Unmanned Aerial Vehicles (UAVs) to collect data in dense wireless sensor networks (WSNs) using projection-based Compressive Data Gathering (CDG) as a novel solution methodology. …”
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  9. 89
    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning

    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

    Published 2024
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  10. 90
    BioNetApp: An interactive visual data analysis platform for molecular expressions

    BioNetApp: An interactive visual data analysis platform for molecular expressions by Ali M. Roumani (18615124)

    Published 2019
    “…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…”
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  11. 91
    ADD. (c2002)

    ADD. (c2002) by Varjabedian, Ralph A.

    Published 2002
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  12. 92
    Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering

    Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering by El-Maleh, Aiman H.

    Published 2006
    “…Test compaction is an effective technique for reducing test data volume and test application time. In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …”
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  13. 93
    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks

    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

    Published 2024
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  14. 94
    Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression

    Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression by Alaa Abd-Alrazaq (17430900)

    Published 2023
    “…<p dir="ltr">Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of the technologies that have been exploited to detect or predict depression. The current review aimed at examining the performance of wearable AI in detecting and predicting depression. …”
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  15. 95
    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks by Najam Us Sahar Riyaz (22927843)

    Published 2025
    “…Cohesive data collections exceeding four hundred molecules under standardized test conditions deliver coefficients of determination above 0.90 and root-mean-square errors below 0.05. …”
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  16. 96
    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

    Published 2021
    “…If leveraged properly, that data could assist end-users, energy producers and utility companies in detecting anomalous power consumption and understanding the causes of each anomaly. …”
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  17. 97
    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

    Published 2021
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  18. 98
    Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

    Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights by Malekloo, Arman

    Published 2021
    “…In the age of the smart city, Internet of Things (IoT), and big data analytics, the complex nature of data-driven civil infrastructures monitoring frameworks has not been fully matured. …”
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  19. 99
    Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks

    Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar (22046597)

    Published 2024
    “…<p dir="ltr">The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). …”
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  20. 100
    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata

    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata by Siddiqui, Ansah Juned

    Published 2025
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