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  1. 221

    An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm by M Baritha Begum (17541483)

    Published 2023
    “…Encoding input data involves scrambling it with a generated key and then transforming it through the Burrows-Wheeler Transform (BWT). …”
  2. 222

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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    Pyrolysis Study of Different Fruit Wastes Using an Aspen Plus Model by Ahmed AlNouss (9872265)

    Published 2021
    “…<div><p>Large quantities of fruit wastes are generated during the consumption and processing of fruits. The disposal of fruit wastes in an environmentally benign way is a challenging task. …”
  6. 226

    Novel Scalable Topologies of High Power Density Quadratic Converters With Low Voltage Stress on Power Diode by Md Samiullah (16888767)

    Published 2024
    “…<p dir="ltr">High-gain dc–dc converters are used for a number of applications including the power processing of several low-voltage renewable energy sources (solar photovoltaic and fuel cells) while they are integrated into a microgrid. …”
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    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems by Saab, S. S.

    Published 2005
    “…The state disturbance, reinitialization errors, and measurement errors are considered to be zero-mean white processes. It is shown that the input error covariance matrix converges to zero in presence of uncorrelated disturbances. …”
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  9. 229

    Controlling the optical properties of nanostructured oxide-based polymer films by Christopoulos, Stavros

    Published 2021
    “…The as-received nanoparticles, namely Al[Formula: see text]O[Formula: see text], SiO[Formula: see text] and TiO[Formula: see text] and binary combinations, are treated following specific chemical and mechanical processes in order to be suspended at the optimal size and composition. …”
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    A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset by Mohammad Farhad Bulbul (18278689)

    Published 2022
    “…Finally, the concatenated genre of their outputs is processed through dense layers to classify the input depth video. …”
  17. 237

    Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

    Published 2025
    “…About 35 % utilized deep learning algorithms, specifically convolutional neural networks (CNN) (<i>n </i>= 14). The assessment input for the automation algorithms were predominantly hand movement. …”
  18. 238

    State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches by Aya Haraz (22225036)

    Published 2024
    “…Furthermore, we present key concepts and methods for SoH and SoC estimation utilizing ML, compare input features, metrics, hyperparameters, and datasets, and demonstrate ML-based system models for EV battery estimation. …”
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    HVAC multivariable system modelling and control by Touqan, Basim

    Published 2022
    “…Heating, Ventilation and Air Conditioning (HVAC) is a multivariable process where any alteration with one system input affects most or all of the system’s outputs simultaneously. …”
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