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  1. 41
    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters

    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters by Sakib Mahmud (15302404)

    Published 2025
    “…<p>Non-intrusive detection of household occupancy status using smart meter data presents challenges due to the intricate relationship between user behavior, energy usage, and occupancy. …”
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  2. 42
    Semi-supervised Clustering of Facial Expressions

    Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

    Published 2017
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  3. 43
    A comparative study of regression testing methods. (c1996)

    A comparative study of regression testing methods. (c1996) by Baradhi, Ghinwa S.

    Published 1996
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  4. 44
    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review

    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…The most common purposes of AI were the detection of disease and the evaluation of user performance. …”
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  5. 45
    Building power consumption datasets: Survey, taxonomy and future directions

    Building power consumption datasets: Survey, taxonomy and future directions by Yassine Himeur (14158821)

    Published 2020
    “…Based on the analytical study, a novel dataset has been presented, namely Qatar university dataset, which is an annotated power consumption anomaly detection dataset. The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …”
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  6. 46
    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data

    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data by Tekli, Joe

    Published 2018
    “…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …”
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  7. 47
    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
    “…Correlation analysis provides several visualization features such as Kamada-Kawai, Fruchterman-Reingold Spring embedding network layouts, in addition to single circle, multiple circle and heatmap layouts, whereas comparative analysis presents expression-data distributions across samples, groups, and time points with boxplot display, outlier detection, and data curve fitting. 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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  8. 48
    ELISSAR. (c1997)

    ELISSAR. (c1997) by Nasreddine, Diana M.

    Published 1997
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  9. 49
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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  10. 50
    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

    Published 2011
    “…In this paper, we provide an integrated and fine-grained comparison framework to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and to allow the end-user to adjust the comparison process according to her requirements. …”
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  11. 51
    An XML Document Comparison Framework

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…In this paper, we provide an integrated and fine-grained comparison method to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and allow the end-user to tune the comparison process according to her requirements. …”
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