Search Results - (( frames detection path algorithm ) OR ( pattern detection method algorithm ))

Refine Results
  1. 1

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2016
    “…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  3. 3

    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis by Siti Nur Hidayah, Mazelan

    Published 2022
    “…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  4. 4
  5. 5

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Intelligent auto tracking in 3D space by image processing by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

    Published 2009
    “…Hence, the spherical coordinates of the target are defined and updated with every TV frame. The time development of the centroid in successive TV frames represents the real time trajectory of the target path. …”
    Get full text
    Get full text
    Proceeding Paper
  7. 7
  8. 8

    Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle by Ramli, Muhammad Faiz, Shamsudin, Syariful Syafiq, Legowo, Ari

    Published 2017
    “…In the experiment conducted, we successfully detect and determine a safe avoidance path for the UAV on 6 different sizes and textures of the obstacles including textureless obstacles…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
    Get full text
    Monograph
  10. 10

    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

    Published 2023
    “…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points by Ramli, Muhammad Faiz, Sutjipto, Agus G.E., Sulaeman, Erwin, Ari Legowo, Ari Legowo

    Published 2024
    “…A robust system should be able to not only detect obstacles but the free region for the avoidance path as well. …”
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

    Published 2007
    “…The tracking is based on passive detection using live TV imaging. The target coordinates are determined by an image processing technique and non-linear prediction algorithm. …”
    Get full text
    Get full text
    Proceeding Paper
  14. 14

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

    Published 2019
    “…The first stage is to apply reverse engineering method to obtain the specific patterns of individual jammers. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Pattern Recognition Approach Of Stress Wave Propagation In Carbon Steel Tubes For Defect Detection by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yusainee, Syed Yahya

    Published 2015
    “…The pattern recognition results showed that the AR algorithm is more effective in defect identification. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Swarm negative selection algorithm for electroencephalogram signals classification by Sahel Ba-Karait, Nasser Omer, Shamsuddin, Siti Mariyam, Sudirman, Rubita

    Published 2009
    “…Such automated systems must rely on robust and effective algorithms for detection and prediction. Approach: The proposed detection system of epileptic seizure in EEG signals is based on Discrete Wavelet Transform (DWT) and Swarm Negative Selection (SNS) algorithm. …”
    Get full text
    Article
  18. 18

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…Then, the segmented cabbage sample will use the GLCM method for feature extraction. It is a method of extracting second-order statistical texture features to detect diseases more efficiently. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  19. 19

    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
    Get full text
    Get full text
    Conference or Workshop Item
  20. 20