Search Results - (( java implementation cell algorithm ) OR ( using distant learning algorithm ))

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  1. 1
    Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

    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
    “…Deep learning uses neural networks to learn complex data patterns and relationships. …”
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  2. 2
    Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm

    Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm by Muhammad Aznil, Ab Aziz, Mohammad Fadhil, Abas, Muhamad Abdul Hasib, Ali, Norhafidzah, Mohd Saad, Mohd Hisyam, Ariff, Mohamad Khairul Anwar, Abu Bashrin

    Published 2023
    “…GA optimizer is used in MLNN-GA where the result of each learning weight will be the initial weight of the next learning process. …”
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  3. 3
    Speech emotion recognition using spectrogram based neural structured learning

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

    Published 2022
    “…The generated features are then used to train and understand the emotions via Neural Structured Learning (NSL), a fast and accurate deep learning approach. …”
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  4. 4
    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman

    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman by Seman, Ali

    Published 2013
    “…In some cases, they are quite distant and sparseness. This uniqueness of Y-STR data has become problematic in partitioning the data using the existing partitional clustering algorithms. …”
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  5. 5
    Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data

    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
    “…Then, the ensemble-based supervised learning is proposed to find a global and efficient anomaly threshold using the information of both â��normalâ��/â��abnormalâ�� behaviours. …”
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  6. 6
    Calibrating hand gesture recognition for stroke Rehabilitation Internet-of-Things (RIOT) using MediaPipe in smart healthcare systems

    Calibrating hand gesture recognition for stroke Rehabilitation Internet-of-Things (RIOT) using MediaPipe in smart healthcare systems by Zainuddin, Ahmad Anwar, Mohd Dhuzuki, Nurul Hanis, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina

    Published 2024
    “…This work aims to address these issues by calibrating hand gesture recognition systems using the Rehabilitation Internet-of-Things (RIOT) framework and examining the effectiveness of machine learning algorithms in conjunction with the MediaPipe framework for gesture recognition calibration. …”
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