Search Results - (( java application customization algorithm ) OR ( using interactive detection algorithm ))

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  1. 1

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. …”
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    Thesis
  2. 2

    Detection of eye movements based on EEG signals and the SAX algorithm by Shanmuga, P. M. M., Lau, Sian Lun *, Jou, Chichang.

    Published 2018
    “…Classification algorithms have been investigated in past research to allow detection of eye movement. …”
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    Conference or Workshop Item
  3. 3

    Sequence-based interaction testing implementation using Bees Algorithm by Mohd Hazli M.Z., Kamal Z. Z., Rozmie R. O.

    Published 2023
    “…T-way strategies is used to generate test data to detect faults due to interaction. …”
    Conference paper
  4. 4

    A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell by Arshad, Haslina

    Published 2008
    “…This thesis presents a collision detection algorithm for accurate simulation of a virtual flexible manufacturing cell. …”
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    Thesis
  5. 5

    Implementing a T-Way Test Generation Strategy Using Bees Algorithm by Mohd Hazli, Mohamed Zabil, Kamal Z., Zamli

    Published 2013
    “…Highly customizable software allow users to configure the software to the users’ needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). …”
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    Article
  6. 6

    Emotion Detection Based on EEG Signal by Mohamad Nasaruddin, Noradila

    Published 2021
    “…Thus, this project aimed to study the emotion detection through EEG signal and proposed the right algorithm to process the signal. …”
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    Final Year Project
  7. 7

    Human and Object Detection and Interaction Analysis in Video Image Processing by Mohd Zubir, Azhana

    Published 2019
    “…From a video sequence, the human and objects and their motions are detected through an algorithm process. These motions are then analyzed as interactions when the human and objects overlaps each other. …”
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    Final Year Project
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  10. 10

    Implementing a t-way test generation strategy using bees algorithm by Zabil M.H.M., Zamli K.Z.

    Published 2023
    “…Highly customizable software allow users to configure the software to the users' needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). © SCRG Publication, 2013.…”
    Article
  11. 11

    Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation by Alazzawi, A.K., Rais, H.M., Basri, S.

    Published 2019
    “…The very large number of test cases and time consumption for a test, it is becoming hard to perform exhaustive testing for any software fault detection. For this reason, combinatorial testing (CT) also known as t-way testing, is one of the well-known methods that are used for fault detections to many software systems. …”
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    Article
  12. 12

    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
    “…In this study, a prototype of Augmented Reality system that implements gesture motion is developed. The use of the gesture motion algorithm enables an interactive environment in medical imaging.…”
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    Academic Exercise
  13. 13

    Application of BukaGini algorithm for enhanced feature interaction analysis in intrusion detection systems by Bouke, Mohamed Aly, Abdullah, Azizol, Cengiz, Korhan, Akleylek, Sedat

    Published 2024
    “…Specifically, the study focuses on assessing BukaGini’s effectiveness within the domain of intrusion detection systems (IDS). Recognizing the need for improved feature interaction analysis methodologies in IDS, this research aims to investigate the performance of BukaGini in this context. …”
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    Article
  14. 14

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…Combinatorial interaction testing is a practical approach aims to detect defects due to unwanted and faulty interactions. …”
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    Article
  15. 15

    Human Spontaneous Emotion Detection System by Radin Monawir, Radin Puteri Hazimah

    Published 2018
    “…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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    Thesis
  16. 16

    Collective interaction filtering approach for detection of group in diverse crowded scenes by Wong, Pei Voon, Mustapha, Norwati, Affendey, Lilly Suriani, Khalid, Fatimah

    Published 2019
    “…Therefore, we propose a group detection approach called Collective Interaction Filtering to discover people motion interaction from trajectories. …”
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    Article
  17. 17

    HRI for interactive humanoid head Amir-II for visual tracking and servoing of human face. by Iqbal, Aseef, A Shafie, Amir, Khan, Md. Raisuddin, Alias, Mohd Farid, Radhi, Jamil

    Published 2011
    “…The algorithm basically compares the locations of the face in the image plane that is detected from the static face image captured from real-time video stream. …”
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    Article
  18. 18

    Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time by MM. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah

    Published 2015
    “…İn this paper, the proposed method is to detect and recognizes the fingertips by using the K-Curvature algorithm. …”
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    Conference or Workshop Item
  19. 19

    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images by Chong, Bei Wei

    Published 2015
    “…Boundary of interested area can be acquired using a predefined algorithm or define by user using interactive drawing. …”
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    Thesis
  20. 20

    An algorithm to measure unsymmetrical circle shape of intravascular ultrasound image using image processing techniques by Kutty, Suhaili Beeran, O. K. Rahmat, Rahmita Wirza, Kassim, Sazzli Shahlan, Madzin, Hizmawati, Hamdan, Hazlina

    Published 2021
    “…The methodology starts with image acquisition process followed by image segmentation. After that, border detection for each ROI was detected and the algorithm was applied to calculate the corresponding region. …”
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    Article