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  1. 1
    Image clustering comparison of two color segmentation techniques

    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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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    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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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim

    Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim by Tuan Ibrahim, Tuan Nur Azlina

    Published 2024
    “…This study investigates public sentiment towards AI chatbots, recognizing the critical importance of understanding public perceptions for effective integration. Facing challenges with existing methods, the Support Vector Machine (SVM) algorithm is employed for its proficiency in handling textual data. …”
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  5. 5
    Risk perception modeling based on physiological and emotional responses / Ding Huizhe

    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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  6. 6
    Waste management using machine learning and deep learning algorithms

    Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

    Published 2020
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  7. 7
    Predicting Customer Behaviour on Buying Life Insurance using Machine Learning

    Predicting Customer Behaviour on Buying Life Insurance using Machine Learning by Fabu Ayub A Ghafar, Norhana Abd Rahim, Yumn Suhaylah Yusoff

    Published 2026
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  8. 8
    Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli

    Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli by Zulkipeli, Alis Farhana

    Published 2025
    “…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
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  9. 9
    Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli

    Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli by Mohamad Fauzi, Nurfarah Idayu, Mohamed Hatim, Shahirah, Zulkifli, Zalikha

    Published 2023
    “…The outcome of the research indicated a detection accuracy of 75.2%, which is significant as it demonstrates the potential for the developed model to serve as an effective Malaysia Sign Language detector. …”
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  10. 10
    Small Farmers' Decisions: Utility Versus Profit Maximization

    Small Farmers' Decisions: Utility Versus Profit Maximization by Mohayidin, Mohd. Ghazali

    Published 1982
    “…The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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  11. 11
    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images

    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images by Al-Azzawi, Alaa Khamees, Saripan, M. Iqbal, Jantan, Adznan, O. K. Rahmat, Rahmita Wirza

    Published 2010
    “…The proposed method is able to enhance image quality in term of both visual perception and the blurriness effects (BE).…”
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  12. 12
    Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network

    Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network by Zakaria, Norzaini

    Published 2006
    “…Comparative studies are examined between the result of the predictions from the ANN model trained with Multi-Layer Feed forward Perception, a Generalised Regressions Neural Network (GRNN) algorithm and the result obtained from traditional statistical approach.…”
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  13. 13
    A review on monocular tracking and mapping: from model-based to data-driven methods

    A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

    Published 2022
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  14. 14
    Enhanced notes capture using super resolution technique on tecogan

    Enhanced notes capture using super resolution technique on tecogan by Lee, Theresa Wen Yan

    Published 2023
    “…TecoGAN, a new Artificial Intelligence (AI) Super-Resolution Algorithm will be introduced in this project. An image super-resolution model will be trained using TecoGAN model to improve the clarity of blurry photos that captured from a whiteboard in the lecture classroom. …”
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  15. 15
    Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant

    Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant by M. M., Rahman, K., Kadirgama, Azma Salwani, Ab Aziz

    Published 2014
    “…Multi-layer perception and a batch back propagation algorithm are used. …”
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  16. 16
    Cyber-Crime Detection: Experimental Techniques Comparison Analysis

    Cyber-Crime Detection: Experimental Techniques Comparison Analysis by Aljarboua E.F., Bte Md. Din M., Bakar A.A.

    Published 2023
    “…The researchers have proven that the majority of the models can work effectively in identifying cybercrime, they can span from 70% to 90% in accuracy measuring. …”
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  17. 17
    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat

    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat by Al Zahrawi, Rasha Talal, Syed Abdullah, Syed Nurulakla, Sarirete, Akila, Abdullah, Muhammad Alif Redzuan

    Published 2025
    “…Key findings reveal distinct patterns in simile usage, particularly the prevalence of perceptible-perceptible and cognitive-cognitive categories, emphasizing the role of figurative language in fostering thematic and emotional engagement. …”
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  18. 18
    Examining leadership style and ethical reasoning in Nigeria public sector

    Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

    Published 2016
    “…Results provided a significant positive effect for some of the hypothesized relationships. …”
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  19. 19
    Automated classification of celestial objects using machine learning

    Automated classification of celestial objects using machine learning by Muhamad Suwaid, Muhammad Aiman Haris, Ab Karim, Muhammad ‘Ilyas Amierrullah, Hassan, Raini, Abdul Aziz, Azni

    Published 2025
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  20. 20
    3D imaging techniques in documentation of cultural assets in Malaysia

    3D imaging techniques in documentation of cultural assets in Malaysia by Md. Sharif, Harlina, Hazumi, Hazman, Saedin, Nurfarhanah

    Published 2015
    “…By presenting a brief overview of previous 3D digital documentation efforts undertaken in the field of cultural heritage (CH) in Malaysia, the final aim of this study is to compare the visual accuracy of 3D models generated by CV system, and 3D models produced by terrestrial long-range scanner and structured white light systems. …”
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