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    Deep Learning for the Extraction of Aspects in Textual Opinions by ALSEREIDI, MOHAMED SOHAIL

    Published 2023
    “…Transformer-based models, such as BERT and RoBERTa, also exhibited strong performance across various natural language processing tasks, including sentiment analysis. Additionally, GNNs showcased potential in leveraging text structure to improve aspect and sentiment extraction. …”
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    A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

    Published 2016
    “…<h3>Background</h3><p dir="ltr">Restriction site analysis involves determining the locations of restriction sites after the process of digestion by reconstructing their positions based on the lengths of the cut DNA. …”
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    New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications by Mohieddine Benammar (18103039)

    Published 2019
    “…The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …”
  12. 152

    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data by Rajesh Kumar Dhanaraj (19646269)

    Published 2021
    “…Then, for each pattern, various weak clusters are constructed via X‐means clustering and are utilized as the weak learner (clusters). During this process, the input patterns are categorized into different clusters. …”
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    An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…Up to now, several attempts have been made to reduce TC amounts in the wastewater, among which photocatalysis, an advanced oxidation process, is known as an eco-friendly and efficient technology. …”
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    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces by Uzair Sajjad (19646296)

    Published 2021
    “…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
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    Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers by Heba M. Abdullah (16896384)

    Published 2022
    “…To evaluate the effectiveness of the proposed method, it is applied to a real case study of Qatar University with collected certain attributes data and relevant decision makers as the inputs to the linguistic assessments and MCDM model. …”