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  1. 1
    Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm

    Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm by Addie Irawan, Hashim, Marni Azira, Markom, Abdul Hamid, Adom, Mohd Muslim Tan, E. S.

    Published 2017
    “…The localisation algorithm is developed using scan matching method which is incorporated with K-nearest neighbours (KNN) classification. …”
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  2. 2
    Classification model for hotspot occurrences using a decision tree method

    Classification model for hotspot occurrences using a decision tree method by Sitanggang, Imas Sukaesih, Ismail, Mohd Hasmadi

    Published 2011
    “…The classification model used is a collection of IF-THEN rules that can be used to predict hotspot occurrences for forest fires. …”
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  3. 3
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. …”
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  4. 4
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The first algorithm locates interest points in food images using an MSER. …”
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  5. 5
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. Finally, both algorithms are validated against the findings in various literatures. …”
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  6. 6
    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm

    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

    Published 2020
    “…The performance of this method can work in some specific use cases and effectively solving the problem of the inaccurate classification and detection of typical features.…”
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  7. 7
    Region-growing based segmentation and bag of features classification for breast ultrasound images

    Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

    Published 2017
    “…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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  8. 8
    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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  9. 9
    Image authentication using Zernike moment watermarking

    Image authentication using Zernike moment watermarking by Shojanazeri, Hamid

    Published 2013
    “…The adding or replacing a portion of the image is regarded as malicious attacks and rejected by this algorithm. Using two different watermarks lead to a good classification of incidental and malicious modifications and locating the tampered areas. …”
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  10. 10
    Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi

    Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi by Sherksi, Nasereddin Ibrahim

    Published 2020
    “…This thesis proposes a classification model to detect water leakage, focusing on finding water leakage’s location and size, using K-Nearest Neighbour (K-NN) classification method. …”
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  11. 11
    Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and noise / Norhayati Hamzah

    Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and noise / Norhayati Hamzah by Hamzah, Norhayati

    Published 2007
    “…The use of adaptive antenna arrays is one area that gives promise for improving capacity of wireless communication systems and provides improved safety through location capabilities. …”
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  12. 12
    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms

    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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  13. 13
    Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency

    Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency by Ghazanfar, Latif, Dayang Nur Fatimah, Binti Awg Iskandar, Jaafar, Alghazo, Arfan, Jaffar

    Published 2018
    “…Methods: The skull part is removed from brain MR image by applying converging square algorithm and phase congruency based edge detection method. …”
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  14. 14
    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification

    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

    Published 2020
    “…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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  15. 15
    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
    “…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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  16. 16
    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
    “…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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  17. 17
    Mapping the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms

    Mapping the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms by Shaharum, Nur Shafira Nisa, Mohd Shafri, Helmi Zulhaidi, Wan Ab. Karim Ghani, Wan Azlina, Samsatli, Sheila, Yusuf, Badronnisa

    Published 2019
    “…The aim of this study was to produce a land cover map on the distribution of oil palm plantations on three districts located in Selangor. Landsat 8 images of resolutions 15 x 15 m were used and classified via machine learning and non-machine learning algorithms. …”
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  18. 18
    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking

    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi

    Published 2010
    “…As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. …”
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  19. 19
    PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER

    PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER by Tay, Guo Hong

    Published 2019
    “…On the other hand, Naive Bayes and SVM algorithm is using in classification of the tweets related with HFMD disease. …”
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    Final Year Project Report / IMRAD
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  20. 20
    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules

    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules by Wiliani, Ninuk

    Published 2023
    “…The second algorithm uses K Nearest Neighbour using a ratio of training data and testing data of 95:05 resulting in an accuracy value of 62%. …”
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