Search Results - (( java segmentation using algorithm ) OR ( distant learning process algorithm ))

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  1. 1

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
  2. 2

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Book
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    Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches by Latif S.D., Alyaa Binti Hazrin N., Hoon Koo C., Lin Ng J., Chaplot B., Feng Huang Y., El-Shafie A., Najah Ahmed A.

    Published 2024
    “…Statistical models and machine learning algorithms automatically learn and improve based on data. …”
    Review
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    Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy by Ruhan, A., Gao, Quanxue, Zhang, Xiaoni, Feng, Wenwen, Ali, Siti Khadijah

    Published 2025
    “…The K-nearest neighbor (KNN) algorithm facilitates the creation of edges between pixels, enabling the incorporation of distant pixels and improving resilience to noise and local irregularities. …”
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    Article
  7. 7

    Speech emotion recognition using spectrogram based neural structured learning by Sivan, Dawn, Haripriya, P. H., Jose, Rajan

    Published 2022
    “…As a result, rather than processing data and making judgments from far distant data sources, the decision-making could be made closer to where the data lives. …”
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    Conference or Workshop Item
  8. 8

    Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data by Almalawi, A., Fahad, A., Tari, Z., Khan, A.I., Alzahrani, N., Bakhsh, S.T., Alassafi, M.O., Alshdadi, A., Qaiyum, S.

    Published 2020
    “…The observations whose anomaly scores are significantly distant from â��abnormalâ�� ones will be assumed as â��normalâ��. …”
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    Article