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  1. 41
    Gesture-based Graph-theoretic Robot Formation Control

    Gesture-based Graph-theoretic Robot Formation Control by Sajid, Mahroo

    Published 2022
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  2. 42
    Blue collar laborers’ travel pattern recognition: Machine learning classifier approach

    Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

    Published 2021
    “…Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …”
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  3. 43
    Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models

    Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models by EZZELDIN, KHALED MOHAMED KHALED

    Published 2024
    “…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …”
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  4. 44
    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation

    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation by Abdul Rahman, Sawsan

    Published 2019
    “…Due to the benefits it offers in terms of time and cost savings in terms of sensors' deployment and maintenance, the concept of mobile crowdsensing is now being adopted in the area of intelligent transportation. …”
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  5. 45
    Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security

    Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security by Muhammad Maaz (5600600)

    Published 2024
    “…The time efficiency of both proposed algorithms renders them well-suited for deployment in IoT ecosystems. …”
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  6. 46
    Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix

    Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix by Haraty, Ramzi Ahmed

    Published 2017
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  7. 47
    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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  8. 48
    Data redundancy management for leaf-edges in connected environments

    Data redundancy management for leaf-edges in connected environments by Mansour, Elio

    Published 2022
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  9. 49
    Drone Based Outdoor Insulator Inspection

    Drone Based Outdoor Insulator Inspection by Waleed, Danial

    Published 2019
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  10. 50
    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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  11. 51
    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
    “…Experiments on real life data set explore the feasibility of our approach, which also provides better performance in terms of required authorizations, transactions time and employees working hours. …”
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  12. 52
    Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3

    Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 by Chakar, Joseph

    Published 2020
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  13. 53
    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images by Rehan Raza (17019105)

    Published 2023
    “…Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …”
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  14. 54
    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…Significant improvements have been obtained for ISCAS benchmark circuits in terms of state coverage and CPU time. Furthermore, it is demonstrated that the state-justification sequence generated, helps the ATPG in detecting a large number hard-to-detect faults.…”
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  15. 55
    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…Significant improvements have been obtained for ISCAS benchmark circuits in terms of state coverage and CPU time. Furthermore, it is demonstrated that the state-justification sequence generated, helps the ATPG in detecting a large number of hard-to-detect faults…”
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  16. 56
    Differential diagnosis of bile duct injury and ductopenia

    Differential diagnosis of bile duct injury and ductopenia by West, A.B.

    Published 1998
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  17. 57
    Data Redundancy Management in Connected Environments

    Data Redundancy Management in Connected Environments by Mansour, Elio

    Published 2020
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  18. 58
    Copy number variations in the genome of the Qatari population

    Copy number variations in the genome of the Qatari population by Khalid A. Fakhro (3158862)

    Published 2015
    “…We present the first high-resolution copy number variation (CNV) map for a Gulf Arab population, using a hybrid approach that integrates array genotyping intensity data and next-generation sequencing reads to call CNVs in the Qatari population. CNVs were detected in 97 unrelated Qatari individuals by running two calling algorithms on each of two primary datasets: high-resolution genotyping (Illumina Omni 2.5M) and high depth whole-genome sequencing (Illumina PE 100bp). …”
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  19. 59
    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
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  20. 60
    An XML Document Comparison Framework

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
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