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  1. 1
    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
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  2. 2
    A Mobile Application For Stock Price Prediction

    A Mobile Application For Stock Price Prediction by Choy, Yi Tou

    Published 2021
    “…The evaluation methods were Root Mean Square Error and Mean Absolute Error. The results show ARIMA has the least error among all five prediction algorithms. …”
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  3. 3
    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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  4. 4
    Energy efficient path reconstruction in wireless sensor network using iPath

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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  5. 5
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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  6. 6
    Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS)

    Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS) by Khairul Anuar Juhari, Rizauddin Ramli, Sallehuddin Mohamed Haris, Zunaidi Ibrahim, Abdullah Zawawi Mohamed

    Published 2020
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  7. 7
    Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail

    Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail by Ismail, Muhammad Alif Fauzan

    Published 2021
    “…In conclusion this paper is to develop a product recommender in marketplace mobile application using Collaborative Filter and the accuracy of the algorithm is measured using Mean Absolute Error…”
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  8. 8
    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot

    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot by Jamaludin, Amirul

    Published 2024
    “…From the results, it can be concluded that the development of CSLAM algorithm integrated with ANN able to improve the performance of CSLAM for mobile robot using low-cost sensor.…”
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  9. 9
    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE

    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE by ABDUL RAZAK, FARAH NABILLAH

    Published 2017
    “…The b parameter which is the sensitivity of the mobile phone was also been investigated to reduce the colour error calculation. …”
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  10. 10
    k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes

    k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes by Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Patrice Boursier, Shahrulniza Musa

    Published 2013
    “…This research is focusing on the precise location estimation of mobile node by using k - nearest neighbor algorithm (k-NN). …”
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  11. 11
    Autonomous path planning robot using geographical information

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
    “…After the simulation using Matlab, the algorithm will then be implemented in the robot using basic stamp to run the mobile robot. …”
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  12. 12
    Error correction for CDMA code in mobile communication

    Error correction for CDMA code in mobile communication by Tiong S.K., Tan C.H., Ding J., Ismail M.

    Published 2023
    Conference paper
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  13. 13
    Performance evaluation of PID controller parameters gain optimization for wheel mobile robot based on bat algorithm and particle swarm optimization

    Performance evaluation of PID controller parameters gain optimization for wheel mobile robot based on bat algorithm and particle swarm optimization by Nur Aisyah Syafinaz, Suarin, Pebrianti, Dwi, Nurnajmin Qasrina, Ann, Luhur, Bayuaji, Muhammad, Syafrullah, Indra, Riyanto

    Published 2019
    “…Optimization of PID controller us-ing Bat Algorithm (BA) is presented in this paper. BA as a nature inspired algo-rithm is used to search the optimum PID gains for two wheel mobile robot i.e. an off-the-shelf mobile robot called mBot so that the system will have good per-formance in term of steady state error and time response. …”
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  14. 14
    Path planning for constant speed robot

    Path planning for constant speed robot by Abdullah @ Idris, Ahmad Takiyuddin

    Published 2006
    “…At the moment, the guidance algorithm managed to assist the robot to reach the desired destination, within a certain small error tolerance. …”
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  15. 15
    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot

    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot by Ng, Sing Yee

    Published 2018
    “…In this work, it is shown that both algorithms provide good collision avoidance strategy with a maximum error of only 5cm.…”
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  16. 16
    Improvement and application of particle swarm optimization algorithm

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…The proposed GAPSO algorithm will achieve an average relative error reduction of 2%, accuracy will improve by 96%, the maximum performance will be achieved by 95%, the F1 score will develop by 95%, and the training error cure rate will improve by 94%.…”
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  17. 17
    Variable Global Optimization min-sum (VGOMS) algorithm of decode-and forward-protocol for the relay node in the cooperative channel

    Variable Global Optimization min-sum (VGOMS) algorithm of decode-and forward-protocol for the relay node in the cooperative channel by Hushairi, Zen, Al-Khalid, Hj Othman, Khairuddin, Abdul Hamid, Jamaah, Suut

    Published 2020
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  18. 18
    GSM-WCDMA hybrid localization techniques in multilayer heterogeneous network / Muhammad Naqiuddin Hassan

    GSM-WCDMA hybrid localization techniques in multilayer heterogeneous network / Muhammad Naqiuddin Hassan by Hassan, Muhammad Naqiuddin

    Published 2013
    “…The simulation will produced the comparison of LDT error on MS/UE with different speed and comparison of LDT error on each types of algorithm.…”
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  19. 19
    Design and evaluation on adaptive fuzzy speed control of mobile robot

    Design and evaluation on adaptive fuzzy speed control of mobile robot by Abdollahi, Mohammadreza

    Published 2011
    “…Both data acquisition and control algorithm are developed by using LabVIEW. A four-wheel mobile robot, PUTRABOT2, is used to conduct the experiments. …”
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  20. 20
    Performance Analysis of a Real-Time Adaptive Prediction Algorithm for Traffic Congestion

    Performance Analysis of a Real-Time Adaptive Prediction Algorithm for Traffic Congestion by Nadeem, Khodabacchus Muhamad, Fowdur, Tulsi Pawan

    Published 2018
    “…The approaches choose between five different prediction algorithms using the Root Mean Square Error model selection criterion. …”
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