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    Seismic response modification, over-strength, and displacement amplification factors of steel special truss moment frames by Ghazal Nekouei (17792579)

    Published 2023
    “…<p dir="ltr">In this paper, the seismic design parameters of steel special truss moment frames (STMFs), including the response modification factor (R), over-strength factor (Ω) and displacement modification factor (Cd) are evaluated for two performance levels, namely life safety (LS) and collapse prevention (CP). …”
  4. 144

    Increased cellular protein modification by methylglyoxal activates endoplasmic reticulum-based sensors of the unfolded protein response by Mingzhan Xue (3607649)

    Published 2024
    “…Correction of increased MG by increasing Glo1 expression prevented UPR activation. MG modification of proteins produces surface hydrophobicity through arginine-derived hydroimidazolone MG-H1 formation, with related protein unfolding and preferentially targets PDIs and chaperone pathways for modification. …”
  5. 145

    Optimizing percutaneous reduction and fixation with guidewire modification in pelvic and acetabular fractures: surgical technique and case series by Aiman Mudawi (14150271)

    Published 2024
    “…However, the precise placement of the screw remains a critical challenge, necessitating a modification of the current techniques. This paper introduces a refined technique employing a modified guidewire to enhance the precision and efficiency of percutaneous fixation in pelvic and acetabular fractures.…”
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    Evaluating the Effectiveness of a Behavioural Training Programme for Primary School Teachers in Al Dhafra Private Schools to Modify the Behaviour of Students With ASD by SHARAFEDDIN, ETAB

    Published 2024
    Subjects: “…Autism Spectrum Disorder, behavioural modification, primary school teachers, inclusive education, student behaviour…”
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    Low-Light Homomorphic Filtering Network for integrating image enhancement and classification by Al Sobbahi, Rayan

    Published 2021
    “…When embedded with a classification model, our solution achieves an average 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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    article
  11. 151

    Low-Light Image Enhancement for Object Classification using Deep Learning by Al Sobbahi, Rayan

    Published 2021
    “…When embedded with a classification model, our solution achieves an average of 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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    masterThesis
  12. 152

    Harmonizing Bilingual Layouts: A Proposal of Latin–Arabic Typographic Classifications by Abdel Baki, Randa

    Published 2023
    “…This proposal presents multiple bilingual layout classifications to equip designers in better understanding duality and creating harmonious bilingual compositions while preserving the local script.…”
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    article
  13. 153

    A Complete Classification of 2 x 2 Linear Iterative Systems by Habre, Samer

    Published 2008
    “…As in the case of linear systems of differential equations, the classification of the equilibrium solution (0; 0) leads to an analysis of the eigenvalues and eigenvectors of the system matrix. …”
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    article
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    Feature fusion based on joint sparse representations and wavelets for multiview classification by Younes Akbari (14150781)

    Published 2022
    “…Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views by various fusion methods. …”
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    Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images by Sami Elzeiny (16891521)

    Published 2020
    “…Three types of classification models were built: person-specific models, generic classification models, and calibrated-generic classification models. …”
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    An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method by Heba Soliman Zaina (16904787)

    Published 2022
    “…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …”