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  1. 1
    Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms

    Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms by Bundak, Caceja Elyca

    Published 2021
    “…Lastly, for the fuzzy algorithm, a rule-based decision is applied to select whether the triangle area or average Euclidean algorithm is used to find the final estimated position. …”
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  2. 2
    A new LoRa based positioning algorithm utilizing sequence based deep learning technique

    A new LoRa based positioning algorithm utilizing sequence based deep learning technique by Suseenthiran, Kavetha

    Published 2023
    “…There are positioning system for respective environments for example, at outdoor GPS is used whereas for indoor positioning Wi-Fi and BLE are used but there is no positioning system that can be adaptive to different types of environments which leads to huge positioning error. …”
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  3. 3
    Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system

    Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system by Bundak, Caceja Elyca, Abd Rahman, Mohd Amiruddin, Abdul Karim, Muhammad Khalis, Osman, Nurul Huda

    Published 2021
    “…However, the problem of using the KNN algorithm is the fixed K value does not guarantee accurate estimation at every position. …”
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  4. 4
    Providing Ubiquitous Positioning Using Context Aware Handover Algorithm

    Providing Ubiquitous Positioning Using Context Aware Handover Algorithm by Khan, Mohammod Sazid Zaman

    Published 2012
    “…The algorithm performs handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. …”
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  5. 5
    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan

    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…The Machine Learning algorithm, comprising Random Forest, Linear Regression, XGBoost, SVM, and Stacking Ensemble, is embedded in the system for job position predictions based on the analysed data. …”
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  6. 6
    Detecting indoor positioning of moving object using wifi triangulation algorithm for kid tracker application

    Detecting indoor positioning of moving object using wifi triangulation algorithm for kid tracker application by Wan Nor Afiqah, Wan Othman

    Published 2016
    “…Overall, this proposed system is a part of process in Kid Tracker Application in order to get kid position in indoor environment. The main objective for this research is to calculate the position of the object based on the distance using Wi-Fi Triangulation Algorithm. …”
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    Undergraduates Project Papers
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  7. 7
    Machine learning algorithms in context of intrusion detection

    Machine learning algorithms in context of intrusion detection by Mehmood, T., Rais, H.B.Md.

    Published 2016
    “…The algorithms have been applied on the KDD99 dataset, which is the benchmark dataset used for anomaly-based detection technique. …”
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    Conference or Workshop Item
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  8. 8
    FLUORESCENCE INTENSITY POSITIVITY CLASSIFICATION OF HEP-2 CELLS IMAGES USING FUZZY LOGIC

    FLUORESCENCE INTENSITY POSITIVITY CLASSIFICATION OF HEP-2 CELLS IMAGES USING FUZZY LOGIC by ABANG SAZALI, DAYANG FARZANAI

    Published 2013
    “…The purpose of this study is to classify the fluorescence intensity by using fuzzy logic algorithm to determine the positivity of the Hep2-cell serum samples. …”
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    Final Year Project
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  9. 9
    Enhancement Of Wifi Indoor Positioning System

    Enhancement Of Wifi Indoor Positioning System by Aboodi, Ahed Hussein

    Published 2011
    “…The need for an indoor positioning system that uses the existing infrastructure (WiFi) of a building and achieves a high accuracy positioning is therefore, required. …”
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  10. 10
    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…In this HPSO algorithm, totally seven particles positions are initialized. …”
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  11. 11
    Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS)

    Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS) by Migdady, Hazem Moh'd Ali

    Published 2008
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  12. 12
    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning

    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning by Tan, Chee Sheng

    Published 2019
    “…The TDOA technique is used to estimate the position of an underwater target. …”
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  13. 13
    Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System

    Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System by Azmi, Awang Md Isa, Mustafa H., Othman, Zahariah, Manap, Mohd Sa'ari, Mohamad Isa, Mohd Shahril Izuan, Mohd Zin, Mohd Shakir, Md Saat, Zahriladha, Zakaria

    Published 2016
    “…The Single MIMO Base Station (SMBS) in mobile WiMAX is combined with a virtual technique, known as the Virtual Base Stations, created a novel algorithm for location and positioning (L&P) purposes. …”
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  14. 14
    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi

    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi by Mohd Radzi, Mohamad Khairul Ikhwan

    Published 2017
    “…This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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  15. 15
    Enhanced location and positioning in wimax networks with virtual mimo base station

    Enhanced location and positioning in wimax networks with virtual mimo base station by Othman, Muhammad Hakim

    Published 2015
    “…Furthermore, a new hybrid algorithm enhancement of mobile station (MS) location estimation by using a single MIMO base station (SMBS) with the virtual base station has been introduced. …”
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  16. 16
    Tiki-taka algorithm: a novel metaheuristic inspired by football playing style

    Tiki-taka algorithm: a novel metaheuristic inspired by football playing style by Mohd Fadzil Faisae, Ab Rashid

    Published 2021
    “…Purpose Metaheuristic algorithms have been commonly used as an optimisation tool in various fields. …”
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  17. 17
    An algorithm for positive solution of boundary value problems of nonlinear fractional differential equations by Adomian decomposition method

    An algorithm for positive solution of boundary value problems of nonlinear fractional differential equations by Adomian decomposition method by A. I., Md. Ismail, Hytham. A., Alkresheh

    Published 2016
    “…In this paper, an algorithm based on a new modification, developed by Duan and Rach, for the Adomian decomposition method (ADM) is generalized to find positive solutions for boundary value problems involving nonlinear fractional ordinary differential equations. …”
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  18. 18
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media Anugerah, Md. Tap, Abu Osman

    Published 2011
    “…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal strength (SS) and signal quality (SQ) and subsequently building a model based on extreme learning machine (ELM), a new learning algorithm for single-hidden-layer neural networks. …”
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  19. 19
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media A., Abu Osman, Md. Tap

    Published 2011
    “…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal strength (SS) and signal quality (SQ) and subsequently building a model based on extreme learning machine (ELM), a new learning algorithm for single-hidden-layer neural networks. …”
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  20. 20
    Development of learning algorithm of passive joint for 3R under-actuated robot / Mohd Amiruddin Fikri Yaakob

    Development of learning algorithm of passive joint for 3R under-actuated robot / Mohd Amiruddin Fikri Yaakob by Yaakob, Mohd Amiruddin Fikri

    Published 2015
    “…Position angle analysis by learning algorithm on robotics is extremely important and is widely used as a tool for predictive maintenance to detect faults and mechanical problems. …”
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