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  1. 1
    Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat

    Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

    Published 2022
    “…The technology of psycho-physiological measurement and Eye-tracking has opened up a wide range of possibilities for automating the prediction of human emotional state for a particular event. …”
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  2. 2
    Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment

    Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment by Al-Doski, Jwan M. Mohammed

    Published 2013
    “…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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  3. 3
    Text-based emotion prediction system using machine learning approach

    Text-based emotion prediction system using machine learning approach by Ahmad Fakhri, Ab. Nasir, Eng, Seok Nee, Chun, Sern Choong, Ahmad Shahrizan, Abdul Ghani, Anwar, P. P. Abdul Majeed, Asrul, Adam, Mhd, Furqan

    Published 2020
    “…Text-based emotion prediction system to interpret and understand human emotions was successfully developed.…”
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  4. 4
    An AI Chatbot for personalized music recommendations based on user emotions / Rula M Ali Farkash and Tengku Zatul Hidayah Tengku Petra

    An AI Chatbot for personalized music recommendations based on user emotions / Rula M Ali Farkash and Tengku Zatul Hidayah Tengku Petra by Ali Farkash, Rula M, Tengku Petra, Tengku Zatul Hidayah

    Published 2024
    “…These results show that the models are learning effectively and can successfully recommend music based on user emotions.…”
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  5. 5
    Predicting purchase behaviour of Indonesian and French Muslim consumers: insights from a multi-group analysis

    Predicting purchase behaviour of Indonesian and French Muslim consumers: insights from a multi-group analysis by Farah Syahida, Firdaus, Ikhsan, Ridho Bramulya, Fernando, Yudi

    Published 2023
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  6. 6
    A review on emotion recognition algorithms using speech analysis

    A review on emotion recognition algorithms using speech analysis by Gunawan, Teddy Surya, Alghifari, Muhammad Fahreza, Morshidi, Malik Arman, Kartiwi, Mira

    Published 2018
    “…While for classifier, many algorithms are available including hidden Markov model (HMM), Gaussian mixture mdoel (GMM), vector quantization (VQ), artificial neural networks (ANN), and deep neural networks (DNN). …”
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  7. 7
    Fundamental Research Grant Scheme (FRGS) - FRGS19-076-0684, Speech Emotion Recognition and Depression Prediction Based on Speech Analysis using Deep Neural Networks

    Fundamental Research Grant Scheme (FRGS) - FRGS19-076-0684, Speech Emotion Recognition and Depression Prediction Based on Speech Analysis using Deep Neural Networks by Gunawan, Teddy Surya, Draman, Samsul, Kartiwi, Mira, Borhan, Lihanna, Abdul Malik, Noreha, Abdul Rahman, Farah Diyana, Elsheikh, Elsheikh Mohamed Ahmed, Alghifari, Muhammad Fahreza, Ahmad Qadri, Syed Asif, Ashraf, Arselan, Wani, Taiba Majid

    Published 2022
    “…The deep learning model was trained using well-known databases such as the Berlin Emotion Database and the DAIC-WOZ Depression Dataset. …”
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  8. 8
    Monitoring Land Cover Changes in Halabja City, Iraq.

    Monitoring Land Cover Changes in Halabja City, Iraq. by Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi, Al-doski, Jwan

    Published 2013
    “…Quantitative analysis was conducted by using post-classification change detection technique. …”
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  9. 9
    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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  10. 10
    Context enrichment framework for sentiment analysis in handling word ambiguity resolution

    Context enrichment framework for sentiment analysis in handling word ambiguity resolution by Yusof, Nor Nadiah

    Published 2024
    “…Machine learning algorithms are deployed to perform sentiment classification. …”
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  11. 11
    Detecting emotions and depression through voice

    Detecting emotions and depression through voice by Gunawan, Teddy Surya

    Published 2021
    “…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
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  12. 12
    Parameter tuning for enhancing inter-subject emotion classification in four classes for vr-eeg predictive analytics

    Parameter tuning for enhancing inter-subject emotion classification in four classes for vr-eeg predictive analytics by azmi Sofian Suhaimi, James Mountstephens, Jason Teo

    Published 2020
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  13. 13
    Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning

    Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Alsolai, Hadeel, Gaddah, Abdulbaset, Othman, Mahmoud, Yaseen, Ishfaq, Rizwanullah, Mohammed, Zamani, Abu Sarwar

    Published 2023
    “…For sleep quality prediction, the WSHMSQP-ODL model uses the deep belief network (DBN) model. …”
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  14. 14
    User to user topic recommendation model for student social interaction

    User to user topic recommendation model for student social interaction by Ahmad Subhi, Zolkafly

    Published 2025
    “…This predictive analytics model compared single and multi-classifier accuracy in predicting the importance of a topic for an individual. …”
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  15. 15
    Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach

    Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach by Mustakim, Nurul Ain

    Published 2025
    “…The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
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  16. 16
    Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms

    Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms by Rochin Demong, Nur Atiqah, Shahrom, Melissa, Abdul Rahim, Ramita, Omar, Emi Normalina, Yahya, Mornizan

    Published 2023
    “…By analyzing different personality trait models, we can gain insights into how accurately and reliably they can predict individual behavior. …”
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  17. 17
    Stress mental health symptom assessment mobile application for young adults

    Stress mental health symptom assessment mobile application for young adults by Lee, Chun Hoong

    Published 2023
    “…Subsequently, employing the K-Nearest Neighbors (KNN) algorithm, the model shall forecast the likelihood of experiencing a future panic attack. …”
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  18. 18
    The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data

    The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Akhtar, Md. Mobin, Samdani, Faizan, Siddiqui, Ahmad Talha, Alluhayb, Adel, Hamza, Manar Ahmed, Ahmad, Naved

    Published 2023
    “…The DBN model uses the auto-encoders algorithm (AEA) to predict popularity, which improves the accuracy of its predictions of sleep quality. …”
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  19. 19
    Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues

    Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues by Muhammad, Fajar, Tri Basuki, Kurniawan, Edi Surya, Negara Harahap

    Published 2023
    “…It is also hoped that this can increase the quality of the prediction model that will be formed. In this study, the author will continue the research from another researcher by adding a feature selection process, such as two algorithms from the filtered method, chi-square, and information gain, and one algorithm from the wrapped method, which is Genetic Algorithms (GA). …”
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  20. 20
    A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets

    A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets by Nazmi Sofian Suhaimi, James Mountstephens, Teo, Jason Tze Wi

    Published 2022
    “…The results obtained here show that the prediction model for the four-class emotion classification performed well, including the more challenging inter-subject classification, with the support vector machine (SVM Class Weight kernel) obtaining 85.01% classification accuracy. …”
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