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  1. 1
    A dynamic eLearning prediction modelbased on incomplete activities of eLearning system

    A dynamic eLearning prediction modelbased on incomplete activities of eLearning system by Chayanukro, Songsakda

    Published 2020
    “…The selection of activities in different eLearning usage affect the prediction of learning outcomes. …”
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  2. 2
    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset

    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset by Afiefah Hannani, Abdul Halim

    Published 2023
    “…This study presents the comparison of three Machine Learning algorithms for the detection using cyberbullying activity on social media platforms specifically Twitter. …”
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    Undergraduates Project Papers
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  3. 3
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
    “…To overcome this problem, Genetic Algorithm (GA) has been used to determine optimal value for BP parameters such as learning rate and momentum rate and also for weight optimization. …”
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  4. 4
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  5. 5
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These elements will affect the speed of neural network learning. DE has been applied successfully to improve ANN learning from previous studies. …”
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  6. 6
    Analysis of banana plant health using machine learning techniques

    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. …”
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  7. 7
    Predicting Parkinson’s Disease Using Machine Learning with Voice Parameters and Handwriting Images

    Predicting Parkinson’s Disease Using Machine Learning with Voice Parameters and Handwriting Images by Pruthvi, H.C., UshaSree, R, Harprith, Kaur

    Published 2024
    “…This model takes advantage of both advanced machine learning algorithms and modern image processing techniques, resulting in effective and efficient prediction PD. …”
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  8. 8
    Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah

    Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah by Abdullah, Muhamad Faizol Adli

    Published 2010
    “…These entire elements will affect the speed of natural network learning. In this study, the optimization algorithm, PSO is chosen and applied in feedforward neural network to enhance the learning process. …”
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  9. 9
    Visual codebook analysis in image understanding / Hoo Wai Lam

    Visual codebook analysis in image understanding / Hoo Wai Lam by Hoo, Wai Lam

    Published 2015
    “…Therefore, the visual codebook will no longer affected by those wrongly labeled image patches. The second contribution of this thesis is to reduce human annotation effort in zeroshot learning algorithm, by proposing hierarchical class concept. …”
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  10. 10
    PREDICTIVE ANALYTICS FOR OIL AND GAS ASSET MAINTENANCE USING XGBOOST ALGORITHM

    PREDICTIVE ANALYTICS FOR OIL AND GAS ASSET MAINTENANCE USING XGBOOST ALGORITHM by MUSA, MUHAMAD NABIL

    Published 2020
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  11. 11
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  12. 12
    The classification of wink-based eeg signals by means of transfer learning models

    The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

    Published 2021
    “…An estimation of half post-stroke survivors suffer from a severe motor or cognitive deterioration, that affects the functionality of the affected parts of the body, which in turn, prevents the patients from carrying out Activities of Daily Living (ADL). …”
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  13. 13
    Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]

    Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.] by Mohd Zaki, Muhammad Hareez, Abdul Aziz, Mohd Azri, Sulaiman, Suhana, Hambali, Najidah

    Published 2023
    “…Due to the reason, a dataset is proposed to introduce some features that can affect the students’ performances. The dataset's features are based on online students’ activities during e-learning. …”
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  14. 14
    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms

    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms by Wan Azani Mustafa, Khalis Khiruddin, Khairur Rijal Jamaludin, Firdaus Yuslan Khusairi, Shahrina Ismail

    Published 2026
    journal::journal article
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  15. 15
    Multi resident complex activity recognition in smart home: a literature review

    Multi resident complex activity recognition in smart home: a literature review by Mohamed, Raihani, Perumal, Thinagaran, Sulaiman, Md. Nasir, Mustapha, Norwati

    Published 2017
    “…We present methods behind the main stream of multi resident activity recognition models and algorithms that deploys machine learning as the core subject. …”
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  16. 16
    Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)

    Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD) by Gilani Mohamed, Mohamed Ahmed

    Published 2022
    “…The active contours algorithm deforms an item's initial border in an image to latch onto typical features inside the region of interest given an approximation of the object's perimeter. …”
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  17. 17
    A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim

    A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

    Published 2017
    “…The results showed that the decision algorithm improves the measurement by 28% and the degraded transcoded video does not affect students' comprehension.…”
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  18. 18
    Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications

    Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications by Irwan D., Ali M., Ahmed A.N., Jacky G., Nurhakim A., Ping Han M.C., AlDahoul N., El-Shafie A.

    Published 2024
    “…The water is the main pivotal sources of irrigation in agricultural activities and affects human daily activities such as drinking. …”
    Review
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  19. 19
    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects

    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects by Lipu M.S.H., Miah M.S., Hannan M.A., Hussain A., Sarker M.R., Ayob A., Saad M.H.M., Mahmud M.S.

    Published 2023
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  20. 20
    Classifying corporates default and non-default using machine learning Artificial Neural Network: multilayer perceptron / Nur Insyirah Mohamad Radzi, Murni Salina Rosidi and Nur Asyura Izzati Zailand

    Classifying corporates default and non-default using machine learning Artificial Neural Network: multilayer perceptron / Nur Insyirah Mohamad Radzi, Murni Salina Rosidi and Nur Asy... by Mohamad Radzi, Nur Insyirah, Rosidi, Murni Salina, Zailand, Nur Asyura Izzati

    Published 2023
    “…Therefore, ANN is a machine learning algorithm that uses multiple layers perceptron to solve complex problems and predict analytics.…”
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