Search Results - (( java segmentation using algorithm ) OR ( changes data detection algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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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    Book
  3. 3

    The multiple outliers detection for circular univariate data using different agglomerative clustering algorithms by Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff

    Published 2024
    “…It has been found that SL-Chang, CL-Chang and AL-Chang algorithms work the best in detecting outliers with low masking and swamping effect when sample size is small for any percentage of outliers and concentration parameter. …”
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    Conference or Workshop Item
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  5. 5

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
    “…This paper introduces new method for simulating shoreline change from multi-SAR data. Edge detection algorithm such as Canny algorithm is implemented to identify shoreline. …”
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    Conference or Workshop Item
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    Early detection for server availability in University Malaya data center / Mohd Azizi Osman by Osman, Mohd Azizi

    Published 2016
    “…The current system has been used manually to monitor the servers and many changes need to fulfill current requirement. The objective of the system is to design the detection algorithm for server availability, to develop the detection algorithm for server availability and to test the detection algorithm form server availability. …”
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    Thesis
  8. 8

    Artificial immune system based on real valued negative selection algorithms for anomaly detection by Khairi, Rihab Salah

    Published 2015
    “…This shows that the Negative Selection Algorithms are equipped with the capabilities of detecting changes in data, thus appropriate for anomaly detection. …”
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    Thesis
  9. 9

    Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

    Published 2025
    “…This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. …”
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    Article
  10. 10

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…There are four major steps in a background subtraction algorithm, which are pre-processing, background modeling, foreground detection, and data validation. …”
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    Research Reports
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  13. 13

    Collision avoidance algorithm design for UAV base on parametric theorem and circle overlapping method / Nur Fadzilah Mohamad Radzi by Nur Fadzilah, Mohamad Radzi

    Published 2013
    “…Finally, the collision avoidance algorithm is verified through MATLAB software. Various cases are tested to demonstrate the robustness of both collision detection and avoidance algorithms.…”
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    Thesis
  14. 14

    An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning by Islam, Md Kamrul

    Published 2019
    “…The experimental result shows BOCEDS is able to generate new clusters and remove outdated clusters with time as data stream contents change. The experiment on noisy data stream shows that BOCEDS algorithm can detect noise with an accuracy of approximately 100%. …”
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    Thesis
  15. 15

    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification by Mohd Nizom, Ahmad Nabil

    Published 2018
    “…The accuracy of the algorithm developed in detecting tumour is 94.38% showing that it is relevant for use by radiologists. …”
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    Monograph
  16. 16

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…In addition, the wipe and dissolve transitions are detected using the change-point detection technique, SVM model, and scale invariant feature transform (SIFT). …”
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    Thesis
  17. 17

    Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

    Published 2007
    “…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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    Thesis
  18. 18

    Driver drowsiness detection using different classification algorithms by Nor Shahrudin, Nur Shahirah, Sidek, Khairul Azami

    Published 2020
    “…Hence, this paper present and prove the reliability of ECG signal for drowsiness detection in classifying high accuracy ECG data using different classification algorithms.…”
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    Proceeding Paper
  19. 19

    Deforestation detection in Kinabalu Area, Sabah, Malaysia by using multi-sensor remote sensing approach by Phua, Mui How, Tsuyuki, Satoshi

    Published 2004
    “…The accuracy of detection was satisfactory that the algorithm was used in deforestation detection of the whole study area in two change periods i.e. …”
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    Article
  20. 20

    Development of a rule-based fault diagnostic advisory system for precut fractionation column by Heng, Han Yann

    Published 2005
    “…Although the scheme was developed based on data of fatty acid precut fractionation column, the algorithm of fault detection and diagnosis can be extended to other chemical process by changing the x-MR chart and HAZOP for each selected monitoring variables.…”
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    Thesis