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  1. 1
    Experimental study of urban growth pattern classification using moving window algorithm

    Experimental study of urban growth pattern classification using moving window algorithm by Ghani N.L.A., Abidin S.Z.Z.

    Published 2023
    “…However, literatures are concerned that the existing algorithm may produce incorrect classification result as it is strongly influenced by the size of moving window frame and classification rule. …”
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  2. 2
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Classification can be done precisely and efficiently for objects identified in the future frame. …”
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    Final Year Project / Dissertation / Thesis
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  3. 3
    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Nicolas, Walter, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed, Ho, Shiaw Hooi, Goh, Khean Lee, Hilmi, Ida

    Published 2015
    “…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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  4. 4
    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Hussin, Fawnizu Azmadi, Nicolas, Walter, Malik, Aamir Saeed, Goh, Khean Lee, Hilmi, Ida, Ho, Shaiw Hooi

    Published 2015
    “…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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  5. 5
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The simulation is implemented with iFogSim and java programming language. …”
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  6. 6
    A fuzzy approach for early human action detection / Ekta Vats

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…In order to perform early human action detection, the conventional classification problem is modified into frame-by-frame level classification. …”
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    Thesis
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  7. 7
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  8. 8
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
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  9. 9
    Semantic shot classification in soccer videos via playfield ratio and object size considerations.

    Semantic shot classification in soccer videos via playfield ratio and object size considerations. by Abdul Halin, Alfian, Mohd Sharef, Nurfadhlina, Jantan, Azrul Hazri

    Published 2013
    “…Class labels are then accordingly assigned to each frame based on carefully constructed rule-sets. Majority voting is finally performed where the dominant frame labels within each shot is used as the ultimate class label. …”
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  10. 10
    ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING

    ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING by MOHD RASHDAN, NURUL FARAH

    Published 2019
    “…This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. …”
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    Final Year Project
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  11. 11
    Vehicle classification technique for automated road traffic census

    Vehicle classification technique for automated road traffic census by Bong, Shuk Hui

    Published 2014
    “…This thesis proposes the development of vehicle classification technique for automated road traffic census prototype to replace manually vehicle classification by applying morphological techniques for image classification. …”
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    Final Year Project Report / IMRAD
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  12. 12
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  13. 13
    2D and 3D video scene text classification

    2D and 3D video scene text classification by Xu, J., Shivakumara, P., Lu, T., Tan, C.L.

    Published 2014
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  14. 14
    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking

    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi

    Published 2010
    “…As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. …”
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    Proceeding Paper
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  15. 15
    Block Motion Estimation Using Directional Adaptive Search Window

    Block Motion Estimation Using Directional Adaptive Search Window by Fadly Chew, Nor Farhana, Badruddin, Nasreen

    Published 2006
    “…In this paper, the search range for block-matching ME is made adaptive, based on the motion vectors present in preceding frames. …”
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  16. 16
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  17. 17
    Detection and classification of bleeding region in WCE images using color feature

    Detection and classification of bleeding region in WCE images using color feature by Suman, S., Hussin, F.A.B., Malik, A.S., Pogorelov, K., Riegler, M., Ho, S.H., Hilmi, I., Goh, K.L.

    Published 2017
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  18. 18
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  19. 19
    Multilanguage speech-based gender classification using time-frequency features and SVM classifier

    Multilanguage speech-based gender classification using time-frequency features and SVM classifier by Wani, Taiba, Gunawan, Teddy Surya, Mansor, Hasmah, Ahmad Qadri, Syed Asif, Sophian, Ali, Ambikairajah, Eliathamby, Ihsanto, Eko

    Published 2021
    “…The classification is done based on features derived from the frequency and time domain processing using the Support Vector Machines (SVM) algorithm. …”
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  20. 20
    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm

    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

    Published 2020
    “…For object detection, sliding windows and image pyramids were used to localize and detect objects at different locations, and non-maxima suppression (NMS) was used to obtain the final bounding box to localize the object location. Based on the experiment result, the percentage of classification accuracy of the network is 80% to 90% and the time for the system to detect the object is less than 15sec/frame. …”
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