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  1. 1
    Smart student timetable planner

    Smart student timetable planner by Wong, Xin Tong

    Published 2025
    “…Course data is managed in CSV format, parsed into JSON for fast processing, while sessionStorage and localStorage handle user data within active sessions. …”
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  2. 2
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. …”
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  3. 3
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The development of this project is based on a framework of 5 main stages: planning, analysis, design, implementation and testing. …”
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    Thesis
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  4. 4
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This methodology consist of Requirement and Planning, Design, Construction, Testing and Implementation. …”
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  5. 5
    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems

    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems by Akter M.P., Mekhilef S., Tan N.M.L., Akagi H.

    Published 2023
    Article
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  6. 6
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  7. 7
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  8. 8
    Implementation of RIO in UMJaNetSim / Chan Chin We

    Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

    Published 2004
    “…In this project, I will do some research on the recent TCP congestion control and avoidance mechanisms and implement one of the mechanisms into the Java Network Simulator (JaNetSim). …”
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  9. 9
    Songs Search Using Human Humming Voice

    Songs Search Using Human Humming Voice by Abdul Rahman, Mohamad Ariff

    Published 2007
    “…The scopes for this project are human humming voice, voice capture in WA V format, songs database, and MIDI file comparing algorithm. Methodologies used in this system are based on system analysis and design methodology comprising planning, analysis, design and implementation. …”
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  10. 10
    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems

    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems by Akter, M.P., Mekhilef, Saad, Tan, N.M.L., Akagi, H.

    Published 2015
    “…The model predictive control (MPC) algorithm utilizes the discrete behavior of power converters to determine appropriate switching states by defining a cost function. …”
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  11. 11
    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends by Hossain Lipu M.S., Hannan M.A., Hussain A., Ayob A., Saad M.H.M., Karim T.F., How D.N.T.

    Published 2023
    Review
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  12. 12
    Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system

    Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system by Krishnan P.S., Kiong T.S., Koh J., Yap D.

    Published 2023
    Conference paper
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  13. 13
    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis

    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

    Published 2022
    “…A sequent peak algorithm is a technique designed primarily to estimate the size of active storage by tracking the inflows and outflows over an interval. …”
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  14. 14
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…While much research has been conducted, focusing on the development of algorithms and techniques for HAR, less emphasis was placed on the improvement of HAR research’s efficiency in terms of sensor data collection, annotation, and storage, resulting in the use of incomplete, inefficient, and time-consuming data engineering systems. …”
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  15. 15
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele, Ozavize Freida, Ayodele, Bamidele Victor, Siti Indati, Mustapa, Fernando, Yudi

    Published 2021
    “…Among the various configurations investigated, the perceptron neural network configured with hyperbolic tangent and sigmoid activation function at the hidden and outer layers, as well as the configuration with sigmoid activation functions at the hidden and outer layers, offer the best performance. …”
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  16. 16
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele O.F., Ayodele B.V., Mustapa S.I., Fernando Y.

    Published 2023
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  17. 17
    Design and Modelling of an Energy Aware Dynamic Management for Wireless Sensor Node with Dual Harvesters

    Design and Modelling of an Energy Aware Dynamic Management for Wireless Sensor Node with Dual Harvesters by Abdal-Kadhim., Ali Mohammed

    Published 2020
    “…It is developed to make the sink station able to detect a missing node within the network. The function of the algorithm is to detect the energy sources availability and control the nodes' sleeping period accordingly. …”
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  18. 18
    Web Camera Application For Motion Detection

    Web Camera Application For Motion Detection by Koay, Su Yeong

    Published 2003
    “…The conventional way is by using either active sensor or passive sensor. The new method to detect motion is "vision motion detection". …”
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  19. 19
    Model predictive current and reactive power control for multilevel four-leg indirect matrix converter / Hazrul Mohamed Basri

    Model predictive current and reactive power control for multilevel four-leg indirect matrix converter / Hazrul Mohamed Basri by Hazrul , Mohamed Basri

    Published 2019
    “…The predictive algorithm computes the one-step prediction load current and reactive power. …”
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  20. 20
    Characterization of transdermal drug delivery system using visible spectrophotometry and artificial neural network / Normaizira Hamidi

    Characterization of transdermal drug delivery system using visible spectrophotometry and artificial neural network / Normaizira Hamidi by Hamidi, Normaizira

    Published 2009
    “…The tangent sigmoidal (tansig) function was used for the ANN activation and mean square error (MSE) of the network prediction is used as the cost function during each iteration of the training process. …”
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