Search Results - (( model confirmation based algorithm ) OR ( text classification _ algorithm ))

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  1. 1

    Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim by Mohamad Kasim, Adibah I’zzah

    Published 2025
    “…Confusion matrix analysis confirmed the robustness of the LM-based classifier across varying input data ratios. …”
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    Thesis
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    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system by Eissa, Magdy Abdullah, Sali, Aduwati, Hassan, Mohd Khair, Bassiuny, A. M., Darwish, Rania R.

    Published 2020
    “…Furthermore, the obtained results confirm the proposed algorithm superiority when compared to classical Luenberger observer with constant gains. …”
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    Article
  3. 3

    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…The classification algorithms such as the Lavenberg-Marquardt (LM), Bayesian regularization (BR), scaled conjugate gradient (SCG) and one model of bag-of-features (BoF) are used in this research. …”
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    Thesis
  4. 4

    Diagnosis and treatment recommender system for myocardial infarction using decision tree and Support Vector Machines (SVM) / Wan Marzuqiamrin Wan Mansor by Wan Mansor, Wan Marzuqiamrin

    Published 2025
    “…If the ECG image is classified as indicative of myocardial infarction, the user inputs additional patient clinical data. The decision tree algorithm functions after this point. The prototype processes collected clinical data using these algorithms to confirm diagnoses while determining the level of patient severity. …”
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    Thesis
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    Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation by Liaghat, Shohreh

    Published 2013
    “…The results indicated that LDA-based model resulted in high average overall classification accuracies of 92% (leaf samples) and 94% (trunk samples) when mid-infrared absorbance spectra were analyzed. …”
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    Thesis
  7. 7

    A robust prioritization framework of data quality dimensions to improve ML-driven healthcare systems using AHP and sensitivity analysis by Al-Hgaish, Areen Metib, Atan, Rodziah, Yaakob, Razali, Osman, Mohd Hafeez

    Published 2025
    “…In contrast to performance evaluation studies involving machine learning algorithms or classifiers, this research does not encompass the training or comparison of predictive models. …”
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    Article
  8. 8

    Spear- phishing attack detection using artificial intelligence by Rajkumaradevan, Sanglidevan

    Published 2024
    “…The system integrates text preprocessing techniques to enhance classification accuracy and was tested with real-world datasets, demonstrating effective spam detection. …”
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    Final Year Project / Dissertation / Thesis
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    Automatic paddy planthopper detection and counting using faster R-CNN by Khairunniza-Bejo, Siti, Ibrahim, Mohd Firdaus, Hanafi, Marsyita, Jahari, Mahirah, Ahmad Saad, Fathinul Syahir, Mhd Bookeri, Mohammad Aufa

    Published 2024
    “…The correctness of the model was verified by entomologists, who confirmed a classification and counting accuracy rate of 98.84%. …”
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    Article
  10. 10

    Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition by Ali Yahya, Anwar

    Published 2007
    “…The current dialogue act recognition models, namely cue-based models, are based on machine learning techniques, particularly statistical ones. …”
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    Thesis
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    Enhanced ontology-based text classification algorithm for structurally organized documents by Oleiwi, Suha Sahib

    Published 2015
    “…This research combines the ontology and text representation for classification by developing five algorithms. …”
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    Thesis
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    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…This study provides a text extraction algorithm for web text classification. …”
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    Thesis
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    Comparative analysis of text classification algorithms for automated labelling of quranic verses by Adeleke, Abdullah, Samsudin, Noor Azah, Mustapha, Aida, Mohd Nawi, Nazri

    Published 2017
    “…In this paper, we propose to automate the labelling task of the Quranic verse using text classification algorithms. We applied three text classification algorithms namely, k-Nearest Neighbour, Support Vector Machine, and Naïve Bayes in automating the labelling procedure. …”
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    Article
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