Search Results - (( java application _ algorithm ) OR ( quality detection method algorithm ))

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  1. 1

    Quality assessment methods to evaluate the performance of edge detection algorithms for digital image: a systematic literature review by Haidi Ibrahim

    Published 2021
    “…Quality assessment methods to evaluate the performance of edge detection algorithms for digital image: a systematic literature review by Haidi Ibrahim…”
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    article
  2. 2

    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE by Saipullah, Khairul Muzzammil

    Published 2012
    “…In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the object detection. …”
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    Conference or Workshop Item
  3. 3

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
  4. 4

    Improving the efficiency of clustering algorithm for duplicates detection by Emran, Nurul Akmar, Abdul Rahim, Abdulrazzak Ali Mohamed, Kamal Baharin, Safiza Suhana, Othman, Zahriah, Salem, Awsan Thabet, Abd Aziz, Maslita, Md. Bohari, Nor Mas Aina, Abdullah, Noraswaliza

    Published 2023
    “…Two datasets (compact disc database (CDDB) and MusicBrainz) were used to test duplicates detection algorithms. The duplicates detection toolkit(DuDe) was used as a benchmark for the proposed method. …”
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    Article
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    A semi-synchronous label propagation algorithm with constraints for community detection in complex networks by Chin, J.H., Ratnavelu, K.

    Published 2017
    “…Amongst the proposed community detection methods, the label propagation algorithm (LPA) emerges as an effective detection method due to its time efficiency. …”
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    Article
  7. 7

    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the algorithm. …”
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    Article
  8. 8

    Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

    Published 2014
    “…The proposed method is able to improve the quality of video in comparison with frame copy algorithm. …”
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    Thesis
  9. 9

    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

    Published 2025
    “…The algorithm showed consistent performance across different wafer types and test configurations, outperforming traditional detection methods with improved computational efficiency. …”
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    Thesis
  10. 10

    Automatic Textile Stain Detection Using Yolo Algorithm by Keerthan, N., Ushasree, , Priyanka, Mohan

    Published 2024
    “…Automatic textile stain detection is essential for optimizing the quality control process within the textile industry. …”
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    Article
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    Vader lexicon and support vector machine algorithm to detect customer sentiment orientation by Vivine Nurcahyawati, ., Zuriani, Mustaffa

    Published 2023
    “…Objective: The objective of this study is to detect customer orientation towards product or service quality, as expressed in online or social media. …”
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    Article
  14. 14

    LEVEL-BASED CORRESPONDENCE APPROACH TO COMPUTATIONAL STEREO by MAHABADI, SEYED ALI KASAEIZADEH MAHABADI

    Published 2010
    “…This research focuses on correspondence, proposing an algorithm to improve such detection for low quality cameras (webcams) while trying to achieve real-time image processing. …”
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    Thesis
  15. 15

    Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi by Atefi, Kayvan

    Published 2019
    “…Moreover, shortage of reliable methods on a new dataset for the intrusion detection system and anomaly detection in terms of classification is an issue. …”
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    Thesis
  16. 16

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This improved algorithm, known as the edge-template Contour Delineation (etCD), is based on the fusion of edge detection with corner-template detection and dynamic thresholding to produce enhanced edge map. …”
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    Thesis
  17. 17

    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

    Published 2018
    “…The results showed the effectiveness of the proposed method for detecting multiple clusters in a spatiotemporal space. …”
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    Article
  18. 18

    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

    Published 2018
    “…The results showed the effectiveness of the proposed method for detecting multiple clusters in a spatiotemporal space. …”
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    Article
  19. 19

    An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi by Suhaimi, Hamizan

    Published 2021
    “…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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    Thesis
  20. 20

    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

    Published 2023
    “…Evaluation was made based on various evaluation metrics related to outlier detection and clustering quality. The results indicate that the AGMB algorithm outperformed existing benchmark algorithms in terms of predefined evaluation criteria with an overall 72% accuracy compared to benchmark algorithms which is 11 % only. …”
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    Thesis