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  1. 1
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
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  2. 2
    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Published 2017
    “…The aim of this thesis is to develop a fair and efficient packet scheduling and adaptive bandwidth allocation algorithms to support QoS for a diverse service class for A-MSDU aggregation in IEEE 802.11n network. …”
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    Book Section
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  3. 3
    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES

    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES by HANIZAM, MOHD HAZIQ NAZMI

    Published 2019
    “…The project is carried out with the objective to implement the algorithm on SPOT satellite images that can accurately localize the region of interest (ROI) of the ship. …”
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  4. 4
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  5. 5
    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

    Published 2016
    “…The aim of this thesis is to develop a fair and efficient packet scheduling and adaptive bandwidth allocation algorithms to support QoS for a diverse service class for A-MSDU aggregation in IEEE 802.1 In network. …”
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  6. 6
    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier

    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

    Published 2018
    “…In this project, a classification system is proposed with the one-dimensional local binary pattern algorithm (1D-LBP) with the K-Nearest Neighbour (K-NN) classifier and the system is developed by using a Raspberry Pi 3.There are eight different subjects used to classify in this classification system and each subject consists of seven samples of normalized iris image as input to the system. …”
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    Monograph
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  7. 7
    Medical sign language translator in healthcare facility using yolo version 7 algorithm / Nurin Qistina Zaini

    Medical sign language translator in healthcare facility using yolo version 7 algorithm / Nurin Qistina Zaini by Zaini, Nurin Qistina

    Published 2023
    “…In the future, the system can be more well developed by using local GPU where the training phase can be done without any restriction and more classes of sign language can be added to make it more convenient to use the system.…”
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  8. 8
    Using genetic algorithms to optimise land use suitability

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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  9. 9
    Application of Optimization Methods for Solving Clustering and Classification Problems

    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…The aim of data classification is to set up rules for the classification of some observations that the classes of data are supposed to be known. Here, there is a collection of classes with labels and the problem is to label a new observation or data point belonging to one or more classes of data. …”
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  10. 10
    An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding

    An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

    Published 2023
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  11. 11
    On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.

    On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering. by Che Ujang, Bukhari, Took, Clive Cheong, Mandic, Danilo P.

    Published 2012
    “…The introduced class of algorithms make full use of quaternion algebra and provide generic extensions of the corresponding real and complex solutions. …”
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  12. 12
    Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng

    Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng by Loh , Yuen Peng

    Published 2018
    “…However, current studies in low-light fundamentally lack an indepth understanding of natural vision in low-light that would strengthen the development of effective algorithms. This has subsequently restricted the development of well-rounded systems that would aid in low-light environments, such as assistive systems, surveillance, and autonomous car driving. …”
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  13. 13
    Vehicle Detection in Deep Learning

    Vehicle Detection in Deep Learning by Teoh, Per Nian

    Published 2019
    “…Robust and efficient vehicle detection is an important feature to utilize in the smart transportation system. With the development of computer vision techniques and accessibility of large-scale traffic transport data, deep learning has been enabled to on-road vehicle detection algorithms. …”
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    Final Year Project / Dissertation / Thesis
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  14. 14
    Polynomial neural network for solving Caputo-conformable fractional Volterra–Fredholm integro-differential equation with three-point non-local boundary conditions

    Polynomial neural network for solving Caputo-conformable fractional Volterra–Fredholm integro-differential equation with three-point non-local boundary conditions by Alsa’di, Kawthar, Nik Long, Nik Mohd Asri, Senu, Norazak, Eshkuvatov, Z.K.

    Published 2025
    “…A hybrid technique, combining a polynomial neural network (PNN) with an extreme learning machine algorithm without using any activation functions, is developed. …”
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  15. 15
    A review on monocular tracking and mapping: from model-based to data-driven methods

    A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

    Published 2022
    “…Finally, the popular benchmarks available for developing and evaluating these algorithms are presented along with a comparative study on a different class of algorithms. …”
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  16. 16
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  17. 17
    Class attendance management system using face recognition

    Class attendance management system using face recognition by Abdul Rhman Salim, Omar, Olanrewaju, Rashidah Funke, Balogun, Wasiu Adebayo

    Published 2018
    “…This paper proposes a method of developing a comprehensive embedded class attendance systemusing facial recognition with controlling the door access. …”
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    Proceeding Paper
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  18. 18
    Computational comparison of major proposed methods for graph partitioning problem

    Computational comparison of major proposed methods for graph partitioning problem by Rais, H.M., Abed, S.A., Watada, J.

    Published 2019
    “…Thus, many research studies have focused on developing meta-heuristic algorithms to tackle the graph partitioning problem. …”
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  19. 19
    AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION

    AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION by HASHIM, MOHD ASYRAF

    Published 2016
    “…The author used the Viola-Jones algorithm to detect a face and used Local Binary Patterns (LBP) to recognize the student’s faces.…”
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  20. 20
    A Study of Automated Essay Scoring Frameworks on Evaluating Malaysian University English Test Essays Based on Syntactic and Semantic Features

    A Study of Automated Essay Scoring Frameworks on Evaluating Malaysian University English Test Essays Based on Syntactic and Semantic Features by Chun Then, Lim

    Published 2023
    “…In addition, this study also developed an e-learning platform called UNIMAS DBRater, which is currently used by UNIMAS pre-university English classes, and more and more local educational institutions have expressed interest and willingness to join this e-learning platform.…”
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