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  1. 121

    Coordinated design of robust excitation and TCSC-based damping controllers by Abido, M.A.

    Published 2003
    “…This study also presents a singular value decomposition (SVD) based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. …”
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    PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

    Published 2023
    “…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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  5. 125

    PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

    Published 2023
    “…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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  6. 126

    An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

    Published 2021
    “…Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”
  7. 127

    A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

    Published 2020
    “…The design is versatile since different decoding algorithms can be executed by changing the microprogram. …”
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    article
  8. 128

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…To assess the efficacy of the I-GKSO, it has been subjected to comparisons with multiple different algorithms. The trials conducted using FS datasets yield a quantitative consideration of the I-GKSO's capacity to attain the most optimal subset of features. …”
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    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts by ALSHAMSI, SUROUR

    Published 2022
    “…In order to benefit from multiple different classifiers, and exploit their strengths, the use of ensembling algorithms arises, which combine the results of the individual classifiers into a final result to achieve greater precision and thus a better result. …”
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  11. 131

    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …”
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  12. 132

    Towards a Unified Arabic Government Services Chatbot Based on Ontology by Areed, Sufyan

    Published 2020
    “…Furthermore, a chatbot response algorithm is proposed to respond to government services queries through a hybrid of three different approaches that were executed in a pipeline fashion based on the query complexity. …”
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    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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    Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter by Saleh Alhazbi (16869960)

    Published 2020
    “…We have proposed a set of behavioral features of users' activities on Twitter. Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …”
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    On sensor selection in mobile devices based on energy, application accuracy, and context metrics by Taleb, Sireen

    Published 2013
    “…We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. …”
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