Search Results - ((marking algorithm) OR (means algorithm))

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  1. 1
    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm

    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm by Sophian, Ali, Azmi, Nur Hanisah, Bawono, Ali Aryo

    Published 2021
    “…In this work, preliminary study of the implementation of one of the latest deep learning algorithms, i.e. YOLOv5, has been carried out in the detection and classification of missing road lane markings. …”
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    Proceeding Paper
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  2. 2
    ACCURACY ENHANCEMENT OF OMR FOR EXAM MARKING WITHOUT PRE-SET TEMPLATE USING IMAGE PROCESSING

    ACCURACY ENHANCEMENT OF OMR FOR EXAM MARKING WITHOUT PRE-SET TEMPLATE USING IMAGE PROCESSING by Tow, Jingyi

    Published 2019
    “…Therefore, this study investigate means to improve OMR marking accuracy using enhanced algorithm designed for OMR marking. …”
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    Final Year Project
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  3. 3
    A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds

    A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds by Salim, Naomie, Shah, J. Z.

    Published 2007
    “…The results of the algorithm show significant improvement in comparison to a similar implementation of the hard c-means algorithm.…”
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    Book Section
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  4. 4
    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

    Published 2025
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    Article
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  5. 5
    Comparative analysis of K-Means and K-Medoids for clustering exam questions / Nurul Zafirah Mokhtar

    Comparative analysis of K-Means and K-Medoids for clustering exam questions / Nurul Zafirah Mokhtar by Mokhtar, Nurul Zafirah

    Published 2016
    “…The studies had found that k-Medoids produced higher accuracy result with 0.11% higher than k-Means. As a conclusion, with this type of data, k-Medoids algorithm had shown higher accuracy result rather than k-Means.…”
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    Thesis
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  6. 6
    Lane detection system for autonomous vehicle using image processing techniques

    Lane detection system for autonomous vehicle using image processing techniques by Mohd Kiblee, Shahizul Eza

    Published 2005
    “…The performance of the road marking detection algorithm was investigated over several different short image sequences. …”
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    Thesis
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  7. 7
    Pelvic classification based on deep learning algorithm on clinical CT scans in Malaysian population

    Pelvic classification based on deep learning algorithm on clinical CT scans in Malaysian population by Yahaya, Yasmin Arijah Che

    Published 2023
    “…The Phenice sex estimation method provides 98% of mean precision while 88.3% and 95% for mean sensitivity and mean specificity respectively. …”
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    Thesis
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  8. 8
    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS

    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
    “…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
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    Final Year Project Report / IMRAD
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  9. 9
    The application of Hough Transform for corner detection

    The application of Hough Transform for corner detection by Jamaludin, Mohad Fuad

    Published 2006
    “…Using the Sobel and Kirsch Operator, an image can be extracted and provide the edge points for Hough Transform. Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. …”
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    Thesis
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  10. 10
    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography

    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography by Huddin, Azzam Basseri, Huddin, Aqilah Baseri, Tharek, Anas, Wan Zaki, Wan Mimi Diyana, Muda, Ahmad Sobri

    Published 2022
    “…The t-test analysis is performed between the sum squared error (SSE) of ICH measurements from the automated-ground truth and the conventional-ground truth. Results: The mean volumetric Dice similarity coefficient for the automated segmentation algorithm when tested against the ground truth, is 0.859±0.135. …”
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  11. 11
    Functional outcome of hindfoot arthrodesis in charcot arthropathy

    Functional outcome of hindfoot arthrodesis in charcot arthropathy by Kuharajan R, Mohd Yazid Bajuri, Ohnmar H, Yuliawiratman BS

    Published 2019
    “…The Physical Component of SF36 showed no improvement. The treatment algorithm currently used in our centre is acceptable and shows good outcomes. …”
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  12. 12
    Dual-head marking performance optimisation via evolutionary solutions

    Dual-head marking performance optimisation via evolutionary solutions by Koh J., Tiong S.K., Aris I.B., Mahmoud S.

    Published 2023
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    Conference paper
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  13. 13
    Multi road marking detection system for autonomous car using hybrid- based method

    Multi road marking detection system for autonomous car using hybrid- based method by Shah, Khan Bahadur

    Published 2018
    “…Wu datasets, the proposed algorithm able to detect almost all types of road markings. …”
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  14. 14
    Tracking Pointer At Endoscopic Images For Telepointer Remote Guided

    Tracking Pointer At Endoscopic Images For Telepointer Remote Guided by Muhamad Hamizi Zaidi, Mohd Jonhanis

    Published 2022
    “…The second aim is to track the mark location that the pointer or cursor has marked. …”
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    Undergraduates Project Papers
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  15. 15
    Design and development of latex mark visual detection system

    Design and development of latex mark visual detection system by Chong, Kai Zhe, Zakaria, Azrul Abidin, Mohamed, Hassan, Baharuddin, Mohd Zafri

    Published 2025
    “…With the 14 stages of algorithm development, including tagging and training, the YOLO v5 model achieved an average loss of 5.2% and mAP performance of 99.3% accuracy, achieving the AQL 2.5 standard with less than 15 pieces of false detection.…”
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  16. 16
    Determinism in speech pitch relation to emotion

    Determinism in speech pitch relation to emotion by Ahmed Mustafa Mahmoud, *, Wan, Haslina Hassan*

    Published 2009
    “…Results show that this approach has marked improvements with a low mean square error of no more than 2.65 semitones.…”
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  17. 17
    Advances in lane marking detection algorithms for all-weather conditions

    Advances in lane marking detection algorithms for all-weather conditions by Ab. Ghani, Hadhrami, Besar, Rosli, Md. Sani, Zamani, Kamaruddin, Mohd Nazeri, Syahali, Syabeela, Mohamed Daud, Atiqullah, Martin, Aerun

    Published 2021
    “…Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. …”
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  18. 18
    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification

    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

    Published 2019
    “…This is achieved by using a new design algorithm by separating marker TCP and UDP protocols and extended the marking probability for injecting more green and yellow traffic into the network. …”
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    Thesis
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  19. 19
    An automatic diacritization algorithm for undiacritized Arabic text

    An automatic diacritization algorithm for undiacritized Arabic text by Zayyan, Ayman Ahmad Muhammad

    Published 2017
    “…Hence, the aim of this research is to reduce the ambiguity of the absences of diacritic marks using hybrid algorithm with significantly higher accuracy than the state-of-the-art systems for MSA. …”
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  20. 20
    Course grade calculation using fuzzy logic (CGCFL)

    Course grade calculation using fuzzy logic (CGCFL) by Nurhidayah, Muhamad Zahari

    Published 2011
    “…Grade Calculation using Fuzzy Logic System is a system that developed to calculate the final grade of Data Structure and Algorithms student's more accurate and valuable result. …”
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    Undergraduates Project Papers
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