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    A systematic review of Arabic text classification: areas, applications, and future directions by Wahdan, Ahlam

    Published 2023
    Subjects: “…Arabic, Text classification, Natural language processing, Systematic review…”
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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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    LimitAccess: on-device TinyML based robust speech recognition and age classification by Marina Maayah (17707242)

    Published 2023
    “…This study employs a lite convolutional neural network (CNN) model for two different reasons: First, CNN showed superior accuracy compared to other audio classification models for age classification problems. …”
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    An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

    Published 2025
    “…<p dir="ltr">In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. Identifying the precise regions in medical images containing cancerous cells plays a crucial role in the diagnostic process. …”
  18. 158

    COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers by Syed Ali Jafar Zaidi (19505617)

    Published 2022
    “…Support vector machine (SVM), random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) were used for classification, while AdaBoost and convolutional neural network (CNN) were utilized for future effects. …”
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    Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems by M. Sajid (3070545)

    Published 2024
    “…Our research involves experiments on various UCI benchmark datasets, covering binary, multiclass classification, and regression tasks. The statistical tests and comprehensive experimental analyses consistently show that all variations of the proposed NF-RVFL model outperform baseline models, highlighting their generalization capabilities. …”