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  1. 1
    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves

    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…Traditional methods often rely on expert visual assessments, which are labour-intensive, subjective, and time-consuming. The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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  2. 2
    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
    “…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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  3. 3
    Intent-IQ: customer’s reviews intent recognition using random forest algorithm

    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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  4. 4
    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques

    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques by Sharuddin, Nur Amirah Atikah

    Published 2025
    “…This research aims to develop an automated system for ischemic stroke detection by leveraging machine learning techniques such as Support Vector Machine (SVM), K-Nearest Neighbours (KNN), and Random Forest (RF), applied to CT brain images. …”
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    Monograph
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  5. 5
    Digital Assessment of Facial Acne Vulgaris

    Digital Assessment of Facial Acne Vulgaris by Malik, Aamir Saeed, Ramli, Roshaslinie, Hani, Ahmad Fadzil M, Salih, Yasir, Yap, Felix Boon-Bin, Nisar, Humaira

    Published 2014
    “…Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. …”
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  6. 6
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. …”
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  7. 7
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. …”
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  8. 8
    Optimized techniques for landslide detection and characteristics using LiDAR data

    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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  9. 9
    Recognition system for leaf images based on its leaf contour and centroid

    Recognition system for leaf images based on its leaf contour and centroid by Mohamed Khmag, Asem Ib., Syed Mohamed, Syed Abdul Rahman Al-Haddad, Kamarudin, Noraziahtulhidayu

    Published 2017
    “…In this regard, SVM classifier is exploited to be applied as a classifier to the plant's leaf. …”
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  10. 10
    Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle

    Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle by Hao, Wang, Asrul, Adam, Fengrong, Han

    “…The development of AV that meets customer requirements will increase the global consumer and remain competitive. …”
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  11. 11
    Covid-19 Fake News Detection Model On Social Media Data Using Machine Learning Techniques

    Covid-19 Fake News Detection Model On Social Media Data Using Machine Learning Techniques by Liew, Kelvin Kai Xuan

    Published 2023
    “…Finally, to categorise the covid -19 related dataset, multiple cutting-edge machine learning algorithms were trained. Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT) are the machine learning models presented. …”
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  12. 12
    Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi

    Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi by Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…Therefore, this project aims 1) to design a web-based system that can classify the comparison of useful and not useful product reviews from Shopee using the Support Vector Machine (SVM) algorithm and visualize the comparison, 2) to develop the designed system, and 3) to test the functionality and usability of the system. …”
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  13. 13
    Decision-Level Fusion Scheme For Nasopharyngeal Carcinoma Identification Using Machine Learning Techniques

    Decision-Level Fusion Scheme For Nasopharyngeal Carcinoma Identification Using Machine Learning Techniques by Mohammed, Mazin Abed, Mohd Khanapi, Abd Ghani, M.A., Burhanuddin, Arunkumar, N., Mostafa, Salama A., Ibrahim, Dheyaa Ahmed, Abdullah, Mohamad Khir, Jaber, Mustafa Musa, Abdulhay, Enas, Ramirez-Gonzalez, Gustavo

    Published 2020
    “…It is a tedious and time-consuming operation exceedingly based on doctors and experience of radiologist. …”
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  14. 14
    Rapid lard identification with portable electronic nose

    Rapid lard identification with portable electronic nose by Latief, M., Khorsidtalab, A., Saputra, I., Akmeliawati, R., Nurashikin, A., Jaswir, I., Witjaksono, G.

    Published 2017
    “…This paper signifies the capability of our developed electronic nose in rapid lard identification. …”
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  15. 15
    A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia

    A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

    Published 2025
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  16. 16
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
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  17. 17
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…A number of popular existing algorithms were used to execute the model developed in Rapid tool such as Naïve Bayes , Neural Net , Deep Learning, Decision Tree, Logistic Regression, SVM and k-NN. …”
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  18. 18
    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability

    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability by Lina, Tay

    Published 2017
    “…Therefore, this project is to develop program for automated emboli detection. MATLAB are used to develop signal processing algorithm of the system. …”
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    Monograph
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  19. 19
    Digital assessment of facial acne vulgaris

    Digital assessment of facial acne vulgaris by Malik, A.S., Ramli, R., Hani, A.F.M., Salih, Y., Yap, F.B.-B., Nisar, H.

    Published 2014
    “…Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. …”
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  20. 20
    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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